Triple
T30337939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chess960 |
E771671
|
entity |
| Predicate | numberOfStartingPositions |
P1029
|
FINISHED |
| Object | 960 |
—
|
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: 960 | Statement: [Chess960, numberOfStartingPositions, 960]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfStartingPositions Context triple: [Chess960, numberOfStartingPositions, 960]
-
A.
numberOfPositions
chosen
Indicates the total count of distinct positions or roles associated with a given entity.
-
B.
numberOfForcesAtStart
Indicates the quantity of forces present or applied at the initial point or beginning of a process, event, or scenario.
-
C.
numberOfInitials
Indicates the count of initial letters (such as initials in a name) associated with an entity.
-
D.
startingPositionOfWinner
Indicates the initial position or placement from which the eventual winner began.
-
E.
numberOfMovements
Indicates the total count of distinct movements or motion events associated with the given entity or context.
- 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_69f2248aba24819095bb86480d55b23b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a006be462288190ae18e1567e2ad29f |
completed | May 10, 2026, 11:28 a.m. |
| PD | Predicate disambiguation | batch_6a0069e7a424819098d38458c3823605 |
completed | May 10, 2026, 11:20 a.m. |
Created at: April 29, 2026, 7:54 p.m.