Triple
T15046357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newton-in-Makerfield |
E379234
|
entity |
| Predicate | hasSubarea |
P747
|
FINISHED |
| Object | Wargrave |
E602094
|
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: Wargrave | Statement: [Newton-in-Makerfield, hasSubarea, Wargrave]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wargrave Context triple: [Newton-in-Makerfield, hasSubarea, Wargrave]
-
A.
Wargrave
chosen
Wargrave is a historic village in Berkshire, England, situated on the River Thames and known for its traditional architecture and parish community.
-
B.
Rotting Hill
Rotting Hill is a satirical novel by Percy Wyndham Lewis that portrays post-World War II British society with his characteristic biting critique and experimental style.
-
C.
Wraxall
Wraxall is a village in North Somerset, England, known for its rural character and proximity to the town of Nailsea.
-
D.
Harrowgate
Harrowgate is a neighborhood in North Philadelphia, Pennsylvania, known for its historic roots as an early industrial and residential area.
-
E.
Nightcliff
Nightcliff is a coastal suburb of Darwin in Australia's Northern Territory, known for its scenic foreshore, jetty, and relaxed residential atmosphere.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded830c3c08190a87b81abbbb75377 |
completed | April 15, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9de73614819098b7a88624407d0e |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 10, 2026, 3 a.m.