Triple
T28163777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cüneyt Çakır |
E714968
|
entity |
| Predicate | tournamentOfficiated |
P166865
|
FINISHED |
| Object | UEFA Champions League |
—
|
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: UEFA Champions League | Statement: [Cüneyt Çakır, tournamentOfficiated, UEFA Champions League]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tournamentOfficiated Context triple: [Cüneyt Çakır, tournamentOfficiated, UEFA Champions League]
-
A.
leagueOfficiated
Indicates that a particular league is overseen, governed, or administered by a specified officiating body or authority.
-
B.
officiatedSport
Indicates that an entity served as an official (e.g., referee, umpire, judge) in the context of a specified sport.
-
C.
tournamentSpecific
Indicates that the relationship, condition, or data applies only within the context of a particular tournament and not generally across other contexts or events.
-
D.
tournamentMatches
Indicates that a tournament includes or schedules specific matches as part of its competitive structure.
-
E.
officiatedChampionshipGame
Indicates that an entity served as the official (such as a referee or umpire) in charge of overseeing a championship game.
- 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_69f664aa283c8190a869d0555eff60c6 |
completed | May 2, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69f663362c008190a22afed262f1e426 |
completed | May 2, 2026, 8:48 p.m. |
| PDg | Predicate description generation | batch_69f6645a615481909b53d94512ecbaf1 |
completed | May 2, 2026, 8:53 p.m. |
Created at: April 27, 2026, 10:08 p.m.