Triple
T26652782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marca |
E669109
|
entity |
| Predicate | PichichiTrophyFor |
P80658
|
FINISHED |
| Object | top goalscorer in La Liga |
—
|
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: top goalscorer in La Liga | Statement: [Marca, PichichiTrophyFor, top goalscorer in La Liga]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: PichichiTrophyFor Context triple: [Marca, PichichiTrophyFor, top goalscorer in La Liga]
-
A.
topGoalScorerAward
chosen
Indicates that an entity receives an award for scoring the highest number of goals in a given competition or season.
-
B.
FIFAPuskásAward
Indicates that an entity has received or is associated with the FIFA Puskás Award, recognizing the scorer of the most aesthetically significant or beautiful goal in a given year.
-
C.
FIFABallonDorWinner
Indicates that the subject is the football player who won the FIFA Ballon d'Or award in the specified year or context.
-
D.
BallonDorYear
Indicates the specific year in which a Ballon d'Or award was given.
-
E.
ballonDorScope
Indicates the scope or context within which a Ballon d'Or-related action, status, or eligibility applies.
- 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_69ee9d00eb5481908d6c6d0ada2f0c9a |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f6167ccb308190a3183b2145bf4ce8 |
completed | May 2, 2026, 3:21 p.m. |
| PD | Predicate disambiguation | batch_69f60b8bb0d08190ab5a9a2a8847c6f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 2:33 a.m.