Triple
T28442766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Football League Trophy with Swansea City A.F.C. (as player) |
E715756
|
entity |
| Predicate | isCupCompetitionTitle |
P41925
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Football League Trophy with Swansea City A.F.C. (as player), isCupCompetitionTitle, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCupCompetitionTitle Context triple: [Football League Trophy with Swansea City A.F.C. (as player), isCupCompetitionTitle, true]
-
A.
isPremierCupCompetitionOf
Indicates that one competition is the top-tier or most prestigious cup tournament associated with a particular sport, league, or organization.
-
B.
nationalCupTitle
chosen
Indicates that an entity has won a national-level cup competition title in a given sport or domain.
-
C.
nicknameOfCompetition
Indicates that one name is an informal or alternative nickname used to refer to a particular competition.
-
D.
leagueOrCup
Indicates that one entity is a league or cup competition in which the other entity participates or is associated.
-
E.
leagueCup
Indicates that an entity is a cup-style competition organized within or by a specific league.
- 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_69efd6b44550819094ae991b553d9fc3 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f64e3e642c8190b76da27b9a7fc3b6 |
completed | May 2, 2026, 7:19 p.m. |
| PD | Predicate disambiguation | batch_69f64caede108190a35cc7cbfead866f |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 28, 2026, 1:47 a.m.