Triple
T585994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leeds United F.C. |
E15157
|
entity |
| Predicate | wonTopFlightSeason |
P12322
|
FINISHED |
| Object | 1991–92 First Division |
—
|
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: 1991–92 First Division | Statement: [Leeds United F.C., wonTopFlightSeason, 1991–92 First Division]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonTopFlightSeason Context triple: [Leeds United F.C., wonTopFlightSeason, 1991–92 First Division]
-
A.
wonChampionshipInSeason
Indicates that an entity secured a championship title during a specified season.
-
B.
tournamentWinsInSeason
Indicates that one entity (typically a team or player) has achieved a specified number of tournament victories during a particular season.
-
C.
wonLeagueTitle
chosen
Indicates that a team or individual finished a competition as champions, securing the league title for that season or tournament.
-
D.
managedDebutSeasonTopFlight
Indicates that a person served as a manager or head coach of a team during that team’s first season in the top professional division.
-
E.
lastSeasonChampion
Indicates that the subject is the champion or winner of the immediately preceding season of the relevant competition or event.
- F. None of above.
Provenance (3 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. |
Created at: March 1, 2026, 7:33 p.m.