Triple
T23836371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raúl González |
E590864
|
entity |
| Predicate | playedYouthFootballFor |
P144481
|
FINISHED |
| Object | local club in San Cristóbal de los Ángeles |
—
|
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: local club in San Cristóbal de los Ángeles | Statement: [Raúl González, playedYouthFootballFor, local club in San Cristóbal de los Ángeles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playedYouthFootballFor Context triple: [Raúl González, playedYouthFootballFor, local club in San Cristóbal de los Ángeles]
-
A.
playedHighSchoolFootballAt
Indicates that a person was a member of and participated in a high school football team at a specific school.
-
B.
playedForJuniorTeam
Indicates that an individual was a member of and played for a specific junior-level sports team.
-
C.
playsAssociationFootballIn
Indicates that an entity participates in playing association football (soccer) within or for a specified place, organization, or context.
-
D.
hadFootball
Indicates that an entity possessed or was in control of a football during a specified time or event.
-
E.
youthPlayer
chosen
Indicates a relationship where an individual is a member of, or plays for, the youth or junior division of a team, club, or organization.
- 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_69e25d1de32c8190a907afe9c3d6cd6d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c882f9148190bb28fe7566ef1e70 |
completed | April 29, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f156036ad48190bc2ffdaf39218bcb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 8:07 p.m.