Triple
T10321013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FUS Rabat |
E242135
|
entity |
| Predicate | associationFootballType |
P24689
|
FINISHED |
| Object | men's 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: men's football | Statement: [FUS Rabat, associationFootballType, men's football]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associationFootballType Context triple: [FUS Rabat, associationFootballType, men's football]
-
A.
associationFootballBranchOf
Indicates a formal organizational relationship in which an association football entity operates as a subordinate branch or division of a larger parent organization.
-
B.
typeOfFootball
chosen
Indicates the specific code or variant of football that characterizes or classifies a given football-related entity.
-
C.
associationFootballClub
Indicates that the subject is an association football (soccer) club, i.e., an organized team entity that plays the sport of association football.
-
D.
playedAssociationFootball
Indicates that an entity has participated in playing the sport of association football (soccer).
-
E.
league2
Indicates that an entity participates in, is a member of, or is otherwise affiliated with a specific sports league or competitive 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7ccb7ec8190a538cf279e48116e |
completed | April 7, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f64a648190a79980d647898eb0 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:50 a.m.