Triple
T28442762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Football League Trophy with Swansea City A.F.C. (as player) |
E715756
|
entity |
| Predicate | awardedToClub |
P140545
|
FINISHED |
| Object | Swansea City A.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: Swansea City A.F.C. | Statement: [Football League Trophy with Swansea City A.F.C. (as player), awardedToClub, Swansea City A.F.C.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardedToClub Context triple: [Football League Trophy with Swansea City A.F.C. (as player), awardedToClub, Swansea City A.F.C.]
-
A.
wonWithClub
chosen
Indicates that an entity achieved a victory or title while being a member of a specified club.
-
B.
awardedToFranchise
Indicates that an award, title, or recognition has been given to a specific franchise.
-
C.
awardedToLeagueMember
Indicates that something (such as an award, honor, or recognition) is given to a member of a specific league.
-
D.
winningManagerClub
Indicates that a manager is associated with the club they were managing when they achieved a particular victory or title.
-
E.
affiliatedClubOf
Indicates that one entity is a club with which another entity is formally associated or connected.
- 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_69f727afd5d88190ad48735cd1b32787 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72737c42c8190a3f781a5e98868ff |
completed | May 3, 2026, 10:45 a.m. |
Created at: April 28, 2026, 1:47 a.m.