Triple
T32618808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irongate |
E833863
|
entity |
| Predicate | hasClubAssociation |
P28155
|
FINISHED |
| Object | Bamber Bridge 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: Bamber Bridge F.C. | Statement: [Irongate, hasClubAssociation, Bamber Bridge F.C.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClubAssociation Context triple: [Irongate, hasClubAssociation, Bamber Bridge F.C.]
-
A.
associatedClub2
Indicates that an entity has a secondary or additional affiliation or membership with a particular club.
-
B.
associatedClubState
Indicates that there is a relationship between an entity and the state-level club or organization with which it is formally connected or affiliated.
-
C.
associatedClub1
Indicates that an entity has a primary or first-listed association with a particular club or organization.
-
D.
hasClub
chosen
Indicates that an entity is associated with or belongs to a particular club.
-
E.
associatedClubStatus
Indicates the status or condition of a club as it relates to a particular entity or relationship.
- 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_69f3492ccc80819086ef7d26e9786647 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd05ba6b2c81909c62b46237d10365 |
completed | May 7, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69fd03039e48819082b6e12c5453885a |
completed | May 7, 2026, 9:24 p.m. |
Created at: May 1, 2026, 1:06 a.m.