Triple
T8250291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BL postcode area |
E192939
|
entity |
| Predicate | containsPostTown |
P2711
|
FINISHED |
| Object | Tottington |
E281492
|
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: Tottington | Statement: [BL postcode area, containsPostTown, Tottington]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tottington Context triple: [BL postcode area, containsPostTown, Tottington]
-
A.
Tottington
chosen
Tottington is a small town in Greater Manchester, England, situated within the Metropolitan Borough of Bury and known for its semi-rural character and historic village centre.
-
B.
Tylerton
Tylerton is a small, remote watermen’s village on Smith Island in the Chesapeake Bay, known for its crabbing industry and preserved traditional island culture.
-
C.
Wetherby
Wetherby is a market town in West Yorkshire, England, situated on the River Wharfe and known historically as a key coaching stop between London and Edinburgh.
-
D.
Wilmslow
Wilmslow is an affluent town in Cheshire, England, known for its prosperous residential areas and location within the Greater Manchester commuter belt.
-
E.
Mirfield
Mirfield is a small town in West Yorkshire, England, known for its position on major rail routes and its historic textile industry.
- 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_69ca82de7b8c81908d8106f8a53cff9b |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb78c817708190ad1c364e12083d26 |
completed | March 31, 2026, 7:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd353888208190941d1c0b7b911cdd |
completed | April 1, 2026, 3:09 p.m. |
Created at: March 30, 2026, 5:48 p.m.