Triple
T26652787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marca |
E669109
|
entity |
| Predicate | GurucetaTrophyFor |
P51312
|
FINISHED |
| Object | best referee in Spanish football |
—
|
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: best referee in Spanish football | Statement: [Marca, GurucetaTrophyFor, best referee in Spanish football]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: GurucetaTrophyFor Context triple: [Marca, GurucetaTrophyFor, best referee in Spanish football]
-
A.
trophy
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.
trophyCustodian
Indicates that one entity is responsible for holding, safeguarding, or managing a trophy on behalf of another entity or organization.
-
C.
commemorativeTrophy
chosen
Indicates that a trophy exists to honor or memorialize a particular person, event, or achievement.
-
D.
isPrizedFor
Indicates that something is highly valued or esteemed because of a particular quality, feature, or benefit it provides.
-
E.
namedAfterTrophy
Indicates that one entity has been given a name derived from or in honor of a particular trophy.
- 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.