R0021/2026-03-25/Q008
Query: How does natural language ambiguity (polysemy, regional variation, grammatical flexibility) compare to formal specification languages in terms of precision? How many definitions does the word "set" have in English?
BLUF: "Set" has 430 definitions in the OED Second Edition (580 senses total); "run" now holds the record with 645 senses. Polysemy is pervasive — most content words are polysemous, and frequency correlates with polysemy. Formal specification languages assign exactly one meaning per term. The ambiguity gap is approximately 430:1 for a common word, making natural language an inherently imprecise specification instrument.
Answer: H1 (Vastly more ambiguous) · Confidence: High
Summary
| Entity |
Description |
| Query Definition |
Question as received, clarified, ambiguities, sub-questions |
| Assessment |
Full analytical product |
| ACH Matrix |
Evidence × hypotheses diagnosticity analysis |
| Self-Audit |
ROBIS-adapted 4-domain process audit |
Hypotheses
| ID |
Statement |
Status |
| H1 |
Natural language is vastly more ambiguous |
Supported |
| H2 |
The ambiguity gap is overstated |
Eliminated |
| H3 |
Gap is real but context-dependent |
Partially supported |
Polysemy Data
| Word |
OED Edition |
Definitions/Senses |
Record Holder? |
| set |
OED2 (1989) |
430 definitions / 580 senses |
Former |
| make |
OED3 (2000) |
(broke set's record) |
Former |
| put |
OED3 (2007) |
(broke make's record) |
Former |
| run |
OED3 (2011) |
645 senses |
Current |
Searches
| ID |
Target |
Type |
Outcome |
| S01 |
Polysemy and "set" definitions |
WebSearch |
3 selected, 1 rejected |
Sources