Triple
T28366195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UEFA Cup 1999–2000 |
E718494
|
entity |
| Predicate | runnerUpManagerClub |
P164691
|
FINISHED |
| Object | Arsenal F.C. |
—
|
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: Arsenal F.C. | Statement: [UEFA Cup 1999–2000, runnerUpManagerClub, Arsenal F.C.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: runnerUpManagerClub Context triple: [UEFA Cup 1999–2000, runnerUpManagerClub, Arsenal F.C.]
-
A.
runnerUpManager
Indicates that one entity serves as the manager or coach of another entity who finished as the runner-up in a competition or ranking.
-
B.
runnerUpClubNationality
Indicates the nationality associated with the club that finished as runner-up in a competition or event.
-
C.
runnerUpLeague
Indicates that an entity finished in second place in a league competition.
-
D.
runnerUpTeamOwner
Indicates the owner of the team that finished as the runner-up in a competition or league.
-
E.
runnerUpDivision
Indicates that one entity is the second-place finisher (runner-up) within a specified division or category relative to another entity.
- 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_69f64ee0c2788190a94a04ad1902fd5e |
completed | May 2, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69f64caede108190a35cc7cbfead866f |
completed | May 2, 2026, 7:12 p.m. |
| PDg | Predicate description generation | batch_69f64e36c57c8190af09470a8d35512b |
completed | May 2, 2026, 7:19 p.m. |
Created at: April 28, 2026, 12:55 a.m.