Triple
T30847056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Noces |
E785665
|
entity |
| Predicate | numberOfTableaux |
P42152
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Les Noces, numberOfTableaux, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTableaux Context triple: [Les Noces, numberOfTableaux, 4]
-
A.
hasCombinatorialInterpretation
Indicates that something can be meaningfully interpreted or explained in terms of counting, arrangements, or other combinatorial structures or arguments.
-
B.
hasCombinatorialNature
Indicates that something possesses properties or behavior fundamentally based on combinations, arrangements, or discrete configurations of elements.
-
C.
degreeOfNaturalPermutationRepresentation
Indicates the degree (dimension) of the natural permutation representation associated with a given permutation action or group.
-
D.
numberOfConjugacyClasses
Indicates the total count of distinct conjugacy classes associated with a given group.
-
E.
numberOfCounts
chosen
Indicates the total quantity or tally of discrete occurrences, items, or instances associated with an entity or event.
- 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_69f224b850848190a4af4ccf8ddadcdf |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a00a74c0564819081e1c4c29b9d0d15 |
completed | May 10, 2026, 3:42 p.m. |
| PD | Predicate disambiguation | batch_6a00a6a63ef48190a743c88534d9d672 |
completed | May 10, 2026, 3:39 p.m. |
Created at: April 29, 2026, 8:46 p.m.