Triple
T29710254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | France vs Australia |
E751758
|
entity |
| Predicate | secondFranceGoalScorer |
P2695
|
FINISHED |
| Object | Paul Pogba |
—
|
NE NERFINISHED |
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: Paul Pogba | Statement: [France vs Australia, secondFranceGoalScorer, Paul Pogba]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondFranceGoalScorer Context triple: [France vs Australia, secondFranceGoalScorer, Paul Pogba]
-
A.
goalsForFrance
Indicates that the subject scored a goal while playing for the France national team.
-
B.
goalsScoredByFrance
Indicates the number of goals that were scored by the France team in a given match or event.
-
C.
finalGoalscorer
Indicates that an entity is the player who scored the last goal in a particular match or event.
-
D.
goalScorer
chosen
Indicates that the subject is the player who scored a particular goal in a game or match.
-
E.
notableGoalScorer
Indicates that the subject is recognized for having scored a significant or noteworthy number of goals, typically in a sports 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_69f0d62748848190b030d0a703629a7d |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fd67191cf88190b53ecbf5be3564e9 |
completed | May 8, 2026, 4:31 a.m. |
| PD | Predicate disambiguation | batch_69fd654fdaac81908e67e75194710f06 |
completed | May 8, 2026, 4:23 a.m. |
Created at: April 28, 2026, 7:30 p.m.