Triple
T21951567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metro-Cammell |
E542081
|
entity |
| Predicate | locationOfHeadquarters |
P62
|
FINISHED |
| Object | Saltley |
—
|
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: Saltley | Statement: [Metro-Cammell, locationOfHeadquarters, Saltley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saltley Context triple: [Metro-Cammell, locationOfHeadquarters, Saltley]
-
A.
Saltley
chosen
Saltley is an inner-city district of Birmingham, England, known for its industrial heritage and diverse residential community.
-
B.
Moorside
Moorside is a residential area within the Bury North parliamentary constituency in Greater Manchester, England.
-
C.
Salterforth
Salterforth is a small rural village in Lancashire, England, situated near the Leeds and Liverpool Canal and known for its scenic countryside setting.
-
D.
Saltney
Saltney is a town near the England–Wales border, close to Chester, known historically for its industrial activity and proximity to the River Dee.
-
E.
Heald Green
Heald Green is a suburban area in Greater Manchester, England, known for its residential character and proximity to Manchester Airport.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c47ef0e48190a50e1bcc43f4b3fd |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1243c84d4819097f5a93b128f024b |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:58 p.m.