Triple
T222246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toronto Huskies |
E4239
|
entity |
| Predicate | firstGameScore |
P2625
|
FINISHED |
| Object | New York Knicks 68 – Toronto Huskies 66 |
—
|
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: New York Knicks 68 – Toronto Huskies 66 | Statement: [Toronto Huskies, firstGameScore, New York Knicks 68 – Toronto Huskies 66]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstGameScore Context triple: [Toronto Huskies, firstGameScore, New York Knicks 68 – Toronto Huskies 66]
-
A.
finalScore
chosen
Indicates the resulting or overall score achieved after all contributing actions, events, or evaluations are completed.
-
B.
game1Winner
Indicates which participant or team won the first game in a series or match.
-
C.
firstInternationalMatch
Indicates that the match is the first international-level game played by the entity (such as a team or player) in question.
-
D.
firstNightGameDate
Indicates the date on which an entity’s first night game took place.
-
E.
gameWinningScoreType
Indicates the type or category of score (e.g., goal, point, run) that results in winning a game.
- 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_69a2573508588190b522c2476d91acfe |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c705fd88190bfee7f5e1f7cee17 |
completed | Feb. 28, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69a25b5617788190814358aee3f7ae37 |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.