Triple
T26652775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marca |
E669109
|
entity |
| Predicate | awardsCreated |
P31188
|
FINISHED |
| Object | Pichichi Trophy |
—
|
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: Pichichi Trophy | Statement: [Marca, awardsCreated, Pichichi Trophy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardsCreated Context triple: [Marca, awardsCreated, Pichichi Trophy]
-
A.
awardCreated
chosen
Indicates that an award was established or instituted by a particular agent or entity.
-
B.
awardsAre
Indicates that one entity confers or grants awards or honors to another entity.
-
C.
hasNotableAwardCreatedBy
Indicates that an award received by an entity was created or established by a specific creator or organization.
-
D.
alsoAwardedIn
Indicates that the same award or recognition was given in an additional time, place, or context beyond the primary one.
-
E.
creatorAwardConnection
Indicates a relationship between a creator and an award, such as receiving, being nominated for, or otherwise being associated with that award.
- 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_69f68805b4848190b75da14996d52a38 |
completed | May 2, 2026, 11:25 p.m. |
| PD | Predicate disambiguation | batch_69f68609c0b08190a8e1238a4d97c270 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 27, 2026, 2:33 a.m.