Triple
T37258671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Young diagram |
E924200
|
entity |
| Predicate | conjugationActsOn |
P187675
|
FINISHED |
| Object | integer partitions |
—
|
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: integer partitions | Statement: [Young diagram, conjugationActsOn, integer partitions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conjugationActsOn Context triple: [Young diagram, conjugationActsOn, integer partitions]
-
A.
conjugationCorrespondsTo
Indicates that one verb conjugation form corresponds to, or is the proper inflected realization of, a particular base form, tense, mood, person, or other grammatical specification.
-
B.
isConjugatedTo
Indicates that two verb forms are related as different inflectional variants of the same verb through conjugation.
-
C.
actsOn
Indicates that one entity performs an action that affects, targets, or is directed toward another entity.
-
D.
conjugationType
Indicates the specific pattern or class of inflectional changes a verb follows when it is conjugated.
-
E.
conjugate
Indicates that one entity is a grammatical or mathematical counterpart of another, linked by a specific transformation such as verb inflection or complex-number pairing.
- F. None of above. chosen
Provenance (4 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_69f76eabd6c481909d414a80a1345c98 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb78cbef988190b8f79d946b46e6b2 |
completed | May 6, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9ac5a08190b24ef308963fc52b |
completed | May 6, 2026, 3:13 p.m. |
| PDg | Predicate description generation | batch_69fb78c982ac8190846efe8f6209e5d1 |
completed | May 6, 2026, 5:22 p.m. |
Created at: May 3, 2026, 4:15 p.m.