Triple
T26652783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marca |
E669109
|
entity |
| Predicate | ZarraTrophyFor |
P2890
|
FINISHED |
| Object | top Spanish 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 Spanish goalscorer in La Liga | Statement: [Marca, ZarraTrophyFor, top Spanish goalscorer in La Liga]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ZarraTrophyFor Context triple: [Marca, ZarraTrophyFor, top Spanish goalscorer in La Liga]
-
A.
trophy
chosen
Indicates that one entity is a trophy awarded or possessed in relation to another entity, typically as a result of winning or achieving something.
-
B.
commemorativeTrophy
Indicates that a trophy exists to honor or memorialize a particular person, event, or achievement.
-
C.
trophySponsor
Indicates that a sponsor provides financial or material support specifically for a trophy associated with an event, competition, or award.
-
D.
namedAfterTrophy
Indicates that one entity has been given a name derived from or in honor of a particular trophy.
-
E.
rookieOfTheYearTrophy
Indicates that an entity has been awarded the Rookie of the Year trophy in a particular league, season, or competition.
- 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.