Triple
T6586856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kearsley |
E159246
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Farnworth |
E496807
|
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: Farnworth | Statement: [Kearsley, locatedNear, Farnworth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Farnworth Context triple: [Kearsley, locatedNear, Farnworth]
-
A.
Farnworth
chosen
Farnworth is a town in Greater Manchester, England, historically part of Lancashire and now largely residential with local industry and transport links to nearby urban centers.
-
B.
Cornbrook
Cornbrook is a major Metrolink tram interchange area in Manchester, England, providing key connections between multiple tram lines.
-
C.
Fritchley
Fritchley is a small village in Derbyshire, England, known for its rural character and proximity to the larger village of Crich.
-
D.
Cosford
Cosford is a village in Shropshire, England, best known for its close association with RAF Cosford and the Royal Air Force Museum Cosford.
-
E.
Wheelerfield
Wheelerfield is a small settlement located in the Parish of St. Thomas in the East in eastern Jamaica.
- 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_69c688366ce8819083f8883983c0df92 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6aeafd2848190bb51e3ea9711c803 |
completed | March 27, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d5794f388190a04f4f9c9e628f22 |
completed | March 27, 2026, 7:07 p.m. |
Created at: March 27, 2026, 1:55 p.m.