Triple
T28163782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cüneyt Çakır |
E714968
|
entity |
| Predicate | notableMatchOfficiated |
P202565
|
FINISHED |
| Object | 2015 UEFA Champions League Final |
—
|
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: 2015 UEFA Champions League Final | Statement: [Cüneyt Çakır, notableMatchOfficiated, 2015 UEFA Champions League Final]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableMatchOfficiated Context triple: [Cüneyt Çakır, notableMatchOfficiated, 2015 UEFA Champions League Final]
-
A.
notableMatch
Indicates that there exists a particularly significant or noteworthy match or pairing between the related entities.
-
B.
notableMatchVenueFor
Indicates that a venue is notably associated with hosting a particular match or game.
-
C.
leagueOfficiated
Indicates that a particular league is overseen, governed, or administered by a specified officiating body or authority.
-
D.
tournamentOfficiated
Indicates that an entity served as an official (e.g., referee, judge, or umpire) for a particular tournament.
-
E.
matchOf
Indicates that one entity is a specific match, counterpart, or corresponding instance of another entity within a defined context or set.
- 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_6a009273634c8190b5b9c87053b56760 |
completed | May 10, 2026, 2:13 p.m. |
| PD | Predicate disambiguation | batch_6a0092171230819096e4274dd97e0410 |
completed | May 10, 2026, 2:11 p.m. |
| PDg | Predicate description generation | batch_6a009272afc88190a041b7e16d851599 |
completed | May 10, 2026, 2:13 p.m. |
Created at: April 27, 2026, 10:08 p.m.