Triple
T3184343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hazel Grove |
E66663
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Bramhall |
E334342
|
NE FINISHED |
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: Bramhall | Statement: [Hazel Grove, adjacentTo, Bramhall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bramhall Context triple: [Hazel Grove, adjacentTo, Bramhall]
-
A.
Bramhall
chosen
Bramhall is a suburban village in Greater Manchester, England, known for its affluent residential character and historic Bramhall Hall.
-
B.
Crockenhill
Crockenhill is a small village and civil parish in the Sevenoaks District of Kent, England, situated near the town of Swanley.
-
C.
Brundall
Brundall is a village in Norfolk, England, known for its riverside location in the Norfolk Broads and its boating and leisure activities.
-
D.
Shudehill
Shudehill is a central district in Manchester, England, known for its major bus and tram interchange and proximity to the city’s main shopping and commercial areas.
-
E.
Sevenhill
Sevenhill is a small historic township in South Australia's Clare Valley, known for its vineyards and role in the region's wine production.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ad8587c1bc8190a2595f2c22ee1001 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada6bfc4248190af320471688c60f0 |
completed | March 8, 2026, 4:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b24b777fe881909764e2f2cdb68479 |
completed | March 12, 2026, 5:13 a.m. |
Created at: March 8, 2026, 3:06 p.m.