Triple
T25588703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fenerbahçe Women’s Volleyball |
E641459
|
entity |
| Predicate | belongsToSportsClub |
P67501
|
FINISHED |
| Object | Fenerbahçe SK |
—
|
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: Fenerbahçe SK | Statement: [Fenerbahçe Women’s Volleyball, belongsToSportsClub, Fenerbahçe SK]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToSportsClub Context triple: [Fenerbahçe Women’s Volleyball, belongsToSportsClub, Fenerbahçe SK]
-
A.
associatedClubSport
Indicates that there is a relationship between a club and the sport with which it is connected or aligned.
-
B.
memberOfSportsLeague
Indicates that an entity is formally part of, or participates as a member in, a specific sports league.
-
C.
memberOfSportsTeamOwned
Indicates that an entity is a member of a sports team that is owned by another specified entity.
-
D.
memberOfSportsTeamManaged
Indicates that an individual is a member of a sports team that is managed or coached by a specified person or organization.
-
E.
memberOfSportsOrganization
chosen
Indicates that an entity belongs to or is affiliated with a specific sports organization or club.
- 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_69e75dc42b588190a98b58e0df359674 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f67257b0448190a13011af81c81449 |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f66ec3d3d48190ab2f2b71939e572e |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 21, 2026, 4:18 p.m.