Triple
T3744012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biddulph Moor |
E79767
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Biddulph |
E385237
|
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: Biddulph | Statement: [Biddulph Moor, locatedNear, Biddulph]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Biddulph Context triple: [Biddulph Moor, locatedNear, Biddulph]
-
A.
Biddulph
chosen
Biddulph is a small town in Staffordshire, England, known historically for its coal mining and rural surroundings.
-
B.
Torresdale
Torresdale is a residential neighborhood in the far northeastern section of Philadelphia, Pennsylvania, known for its proximity to the Delaware River and suburban character.
-
C.
Buxton
Buxton is a village in Norfolk, England, known for its rural setting and historic association with the River Bure.
-
D.
Buxton
Buxton is a historic spa town in Derbyshire, England, renowned for its thermal mineral springs and Georgian architecture.
-
E.
Cornbrook
Cornbrook is a major Metrolink tram interchange area in Manchester, England, providing key connections between multiple tram lines.
- 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_69ad8b115610819095b02007da5ca3cb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb576b5881908515d64c71f11a16 |
completed | March 8, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e5005b18819083890de9eb985794 |
completed | March 14, 2026, 4:33 a.m. |
Created at: March 8, 2026, 3:34 p.m.