Triple
T28366194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UEFA Cup 1999–2000 |
E718494
|
entity |
| Predicate | winningManagerClub |
P164430
|
FINISHED |
| Object | Galatasaray S.K. |
—
|
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: Galatasaray S.K. | Statement: [UEFA Cup 1999–2000, winningManagerClub, Galatasaray S.K.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winningManagerClub Context triple: [UEFA Cup 1999–2000, winningManagerClub, Galatasaray S.K.]
-
A.
winningManagerTeam
Indicates that the specified manager is the head coach/manager of the team that won a particular game, match, or competition.
-
B.
managerClub
Indicates that a person holds the role of manager for a particular club.
-
C.
championClub
Indicates that a club has won a championship or holds the status of champion in a given competition or season.
-
D.
managerWinningTeam
Indicates that the subject is the manager or coach of the team that won a particular competition or match.
-
E.
wonWithClub
Indicates that an entity achieved a victory or title while being a member of a specified 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_69eff6ed5af48190be4e0adf298223e0 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f64c5645d48190b0c3a2bad5a2e539 |
completed | May 2, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69f641e2f1708190b45b48d6a43c51d2 |
completed | May 2, 2026, 6:26 p.m. |
| PDg | Predicate description generation | batch_69f64bca8574819095e081cbb7e2f369 |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 28, 2026, 12:55 a.m.