Triple
T16857580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yukawa coupling |
E409824
|
entity |
| Predicate | smallestExamples |
P64837
|
FINISHED |
| Object | electron Yukawa coupling |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: electron Yukawa coupling | Statement: [Yukawa coupling, smallestExamples, electron Yukawa coupling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: smallestExamples Context triple: [Yukawa coupling, smallestExamples, electron Yukawa coupling]
-
A.
isSmallestOf
chosen
Indicates that an entity has the minimum size or value within a specified set or group of entities.
-
B.
minimumNumber
Indicates that the associated value is the smallest or least quantity allowed, required, or observed within a given set or context.
-
C.
miniaturizedIn
Indicates that one entity exists as a smaller-scale or reduced-size version within or relative to another entity.
-
D.
miniaturizedBy
Indicates that an entity has been made smaller in size or scale by another entity or process.
-
E.
isOneOfSmallestLetters
Indicates that the letter is among the smallest (e.g., lowest-ranked or minimal) letters within a specified set or ordering.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b37e34b88190bb4468424e2edf2d |
completed | April 18, 2026, 4:38 p.m. |
| PD | Predicate disambiguation | batch_69e32b8cbb048190878a259cc5be960e |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:24 a.m.