Triple
T3354379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manchester urban area |
E70570
|
entity |
| Predicate | hasMajorSettlement |
P316
|
FINISHED |
| Object | Poynton |
E144736
|
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: Poynton | Statement: [Manchester urban area, hasMajorSettlement, Poynton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Poynton Context triple: [Manchester urban area, hasMajorSettlement, Poynton]
-
A.
Poynton
chosen
Poynton is a town in Cheshire, England, known for its former coal mining industry and distinctive shared-space central junction.
-
B.
Wilcote
Wilcote is a small rural village in the district of West Oxfordshire in Oxfordshire, England.
-
C.
Highworth
Highworth is a historic market town in Wiltshire, England, known for its elevated position and traditional architecture.
-
D.
Pirton
Pirton is a rural village and civil parish in North Hertfordshire, England, known for its historic buildings and surrounding countryside.
-
E.
Repton
Repton is a historic English village in Derbyshire best known for its ancient abbey and prestigious Repton School.
- 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_69ad85a4ef7c8190a29e2bbd6fa454e4 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb24036848190bac779d17dfdce3b |
completed | March 8, 2026, 5:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b325373a1c8190b26d883e2f0dd92b |
completed | March 12, 2026, 8:42 p.m. |
Created at: March 8, 2026, 3:13 p.m.