Triple
T24349479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muntz Street ground |
E613742
|
entity |
| Predicate | associatedClubFormerName |
P105090
|
FINISHED |
| Object | Small Heath 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: Small Heath F.C. | Statement: [Muntz Street ground, associatedClubFormerName, Small Heath F.C.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedClubFormerName Context triple: [Muntz Street ground, associatedClubFormerName, Small Heath F.C.]
-
A.
clubFormerName
Indicates that a sports club previously operated under a different official name.
-
B.
associatedWithFormerClubName
chosen
Indicates a relationship where an entity is linked to the previous or former name of a club.
-
C.
supportsClubFormerName
Indicates that an entity provides backing or endorsement for a club’s previous or former official name.
-
D.
associatedClubCommonName
Indicates that there is a relationship linking an entity to the commonly used or popular name of a club with which it is associated.
-
E.
nicknameOfClubFormerName
Indicates that a given nickname was used for a club when it had a former or previous official name.
- 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_69e2d7ddd29481909e7f539a6072bd71 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29344061081908ffcb85787f334a2 |
completed | April 29, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69f287bb1b2c81909c2e7fcc392ad143 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 1:58 a.m.