Triple
T29710258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | France vs Australia |
E751758
|
entity |
| Predicate | AntoineGriezmannGoalType |
P167805
|
FINISHED |
| Object | penalty |
—
|
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: penalty | Statement: [France vs Australia, AntoineGriezmannGoalType, penalty]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: AntoineGriezmannGoalType Context triple: [France vs Australia, AntoineGriezmannGoalType, penalty]
-
A.
goalScorerIn
Indicates that an entity is the player who scored a goal in a particular match or event.
-
B.
playerGoal
Indicates that a player scores, achieves, or is credited with a goal in a game or match.
-
C.
winningGoalType
Indicates the specific manner or category of the goal that determined the final victory in a competition or match.
-
D.
finalGoalscorer
Indicates that an entity is the player who scored the last goal in a particular match or event.
-
E.
goalscoringRole
Indicates that an entity plays the primary role in scoring goals within a game, match, or competitive context.
- F. None of above. chosen
Provenance (4 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_69f0d62748848190b030d0a703629a7d |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f672d8463481909f9144dbfa8be162 |
completed | May 2, 2026, 9:55 p.m. |
| PD | Predicate disambiguation | batch_69f66ac1a4fc81909740d2e52fbe6970 |
completed | May 2, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69f66c59de9881909ebbb7b0ae7ab495 |
completed | May 2, 2026, 9:27 p.m. |
Created at: April 28, 2026, 7:30 p.m.