Triple
T585995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leeds United F.C. |
E15157
|
entity |
| Predicate | PremierLeagueFoundingMember |
P15913
|
FINISHED |
| Object | 1992 |
—
|
LITERAL FINISHED |
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: 1992 | Statement: [Leeds United F.C., PremierLeagueFoundingMember, 1992]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: PremierLeagueFoundingMember Context triple: [Leeds United F.C., PremierLeagueFoundingMember, 1992]
-
A.
firstEnglishClubManagerToWin
Indicates that the subject is the first manager of an English football club ever to achieve a particular victory or title.
-
B.
playedFor
Indicates that one entity has been a member of or participated as a player for a particular team, organization, or group.
-
C.
joinedManchesterUnited
Indicates that an entity became a member of, or signed to play for, Manchester United.
-
D.
team1Established
Indicates that the first team in a given context has been founded or formally established.
-
E.
LeagueCupTitles
Indicates the number of league cup championships an entity has won.
- 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_69a4935783b8819082b77726ec10cc42 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49b9a46388190a094b9ebf8dec397 |
completed | March 1, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69a494ca68448190a516b9c3525d8916 |
completed | March 1, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69a4985ada988190aaea628a9b55bca4 |
completed | March 1, 2026, 7:49 p.m. |
Created at: March 1, 2026, 7:33 p.m.