Triple
T35571474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chess |
E1027950
|
entity |
| Predicate | hasStartingPiecesPerSide |
P192277
|
FINISHED |
| Object | 16 |
—
|
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: 16 | Statement: [Chess, hasStartingPiecesPerSide, 16]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStartingPiecesPerSide Context triple: [Chess, hasStartingPiecesPerSide, 16]
-
A.
hasStartingPiecesPerPlayer
chosen
Indicates the number of pieces each player begins with at the start of the game.
-
B.
hasLeadCountPerSide
Indicates the number of lead elements or units associated with each side in a given context or configuration.
-
C.
hasNumberOfBishops
Indicates the relationship that specifies how many bishops are associated with a given entity.
-
D.
numberOfPieces
Indicates the quantity of discrete parts or units into which something is divided or composed.
-
E.
hasStandardDiceCountPerPlayer
Indicates that there is a specified, consistent number of dice allocated to each player in the context of a game or activity.
- 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_69f76e0386688190b931bacdc145938c |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fff86e544c81908063f61b876c9d78 |
completed | May 10, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69fff7e7cb688190977eeca41aad25b9 |
completed | May 10, 2026, 3:13 a.m. |
Created at: May 3, 2026, 4:04 p.m.