Triple
T24303934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sutton Bonington |
E612477
|
entity |
| Predicate | universityCampusName |
P26197
|
FINISHED |
| Object | Sutton Bonington Campus |
—
|
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: Sutton Bonington Campus | Statement: [Sutton Bonington, universityCampusName, Sutton Bonington Campus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: universityCampusName Context triple: [Sutton Bonington, universityCampusName, Sutton Bonington Campus]
-
A.
campusName
chosen
Indicates the official name assigned to a particular campus.
-
B.
campus1
Indicates a relationship where an entity is identified as a campus or is located on/associated with a particular campus.
-
C.
universityName
Indicates the official name associated with a particular university.
-
D.
cityCampus
Indicates that a campus is located within or associated with a particular city.
-
E.
publicUniversityCampus
Indicates that a university campus is publicly funded or state-operated rather than privately owned.
- 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_69e2d7d91bb48190bc5377d17a85fb21 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29224c7cc8190bd1a32318198326c |
completed | April 29, 2026, 11:20 p.m. |
| PD | Predicate disambiguation | batch_69f1c45c6ec081908401b69424428100 |
completed | April 29, 2026, 8:42 a.m. |
Created at: April 18, 2026, 1:29 a.m.