Triple
T9910622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luca Toni |
E185130
|
entity |
| Predicate | BundesligaTopScorerSeason |
P73904
|
FINISHED |
| Object | 2007–08 |
—
|
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: 2007–08 | Statement: [Luca Toni, BundesligaTopScorerSeason, 2007–08]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BundesligaTopScorerSeason Context triple: [Luca Toni, BundesligaTopScorerSeason, 2007–08]
-
A.
leagueTopScorerInSeason
chosen
Indicates that an entity was the highest goal/point scorer in a particular league during a specified season.
-
B.
topGoalScorerAward
Indicates that an entity receives an award for scoring the highest number of goals in a given competition or season.
-
C.
leagueTopScorerTeam
Indicates the team for which a given league’s top-scoring player plays or played.
-
D.
FIFABallonDorWinner
Indicates that the subject is the football player who won the FIFA Ballon d'Or award in the specified year or context.
-
E.
wonBundesligaWith
Indicates that one entity achieved victory in the Bundesliga while being associated with (e.g., playing for or coaching) the other entity.
- 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_69ca8296165881908ca4750701af1f29 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb512a26881908eb72a21ffb1efef |
completed | April 2, 2026, 12:15 a.m. |
| PD | Predicate disambiguation | batch_69cd1d8c584081908b73de75eb18e438 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:41 p.m.