Triple
T5972954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2005 NBA Finals |
E132918
|
entity |
| Predicate | game6Score |
P38567
|
FINISHED |
| Object | San Antonio Spurs 95–86 Detroit Pistons |
—
|
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: San Antonio Spurs 95–86 Detroit Pistons | Statement: [2005 NBA Finals, game6Score, San Antonio Spurs 95–86 Detroit Pistons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: game6Score Context triple: [2005 NBA Finals, game6Score, San Antonio Spurs 95–86 Detroit Pistons]
-
A.
game6FinalScore
chosen
Indicates the final score achieved in the sixth game of a series or sequence of games.
-
B.
game7Score
Indicates the final score or outcome of a decisive seventh game in a series between competitors.
-
C.
game6Winner
Indicates which participant or team won game 6 in a series or sequence of games.
-
D.
winningTeamScore
Indicates the number of points or goals achieved by the team that wins a particular game or competition.
-
E.
game6LosingTeam
Indicates that the referenced team is the one that lost in game 6 of a series or sequence of games.
- 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_69c0086deab081908550159ca23eec9b |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04dc2243c8190bd3488e7b24af985 |
completed | March 22, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69c049dcb3c081908ccc9b4d4b210229 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:03 p.m.