Triple
T28163803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cüneyt Çakır |
E714968
|
entity |
| Predicate | hasOfficiatedClubs |
P170392
|
FINISHED |
| Object | FC Barcelona |
—
|
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: FC Barcelona | Statement: [Cüneyt Çakır, hasOfficiatedClubs, FC Barcelona]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOfficiatedClubs Context triple: [Cüneyt Çakır, hasOfficiatedClubs, FC Barcelona]
-
A.
hasProfessionalClubs
Indicates that there exists a professional sports or activity club associated with, based in, or belonging to the given entity.
-
B.
hasManagedClub
Indicates that a person has held a managerial role for a particular club.
-
C.
notableClubsInclude
Indicates that the specified clubs are among the particularly significant or well-known clubs associated with the given entity.
-
D.
hasPlayedWithClub
Indicates that an individual has been a member of and participated in activities or competitions for a particular club.
-
E.
associatedClub2
Indicates that an entity has a secondary or additional affiliation or membership with a particular club.
- F. None of above. chosen
Provenance (4 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_69efd6b156448190bfa15958208395c3 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f69063edbc81909e7735954aabee0b |
completed | May 3, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69f68b78f29481908cc8f390496dee97 |
completed | May 2, 2026, 11:40 p.m. |
| PDg | Predicate description generation | batch_69f68f6584a88190a8c4d95c0c84bee9 |
completed | May 2, 2026, 11:57 p.m. |
Created at: April 27, 2026, 10:08 p.m.