Triple
T1079404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1995 Rugby World Cup |
E23912
|
entity |
| Predicate | decisiveScoreInFinal |
P3221
|
FINISHED |
| Object | drop goal by Joel Stransky |
—
|
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: drop goal by Joel Stransky | Statement: [1995 Rugby World Cup, decisiveScoreInFinal, drop goal by Joel Stransky]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: decisiveScoreInFinal Context triple: [1995 Rugby World Cup, decisiveScoreInFinal, drop goal by Joel Stransky]
-
A.
finalScore
Indicates the resulting or overall score achieved after all contributing actions, events, or evaluations are completed.
-
B.
finalScoreWinner
Indicates that the referenced entity is the winner as determined by the final score of a game, match, or competition.
-
C.
decisiveTouchdownScorer
Indicates the player who scored the touchdown that ultimately determined the outcome of the game.
-
D.
decidingGameWinner
chosen
Indicates that an event, action, or process determines which participant is the winner of a game.
-
E.
penaltyShootoutScore
Indicates the number of goals each side scored during a penalty shootout used to decide a tied match.
- 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_69a493f1ddf48190a99d54b00e99f8ce |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b94509d08190964509ea4a2d7912 |
completed | March 1, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69a4b73d9f08819093668104f129840e |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.