Triple
T2649736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haslingden |
E53867
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Rawtenstall |
E9454
|
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: Rawtenstall | Statement: [Haslingden, locatedNear, Rawtenstall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rawtenstall Context triple: [Haslingden, locatedNear, Rawtenstall]
-
A.
Rawtenstall
chosen
Rawtenstall is a small former mill town in Lancashire, England, known for its industrial heritage and location within the Rossendale Valley.
-
B.
Minstead
Minstead is a small village in Hampshire, England, best known as the burial place of Sir Arthur Conan Doyle.
-
C.
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.
-
D.
Rusthall
Rusthall is a village and civil parish in Kent, England, known for its sandstone rock formations and proximity to the spa town of Royal Tunbridge Wells.
-
E.
Slateford
Slateford is a suburb of Edinburgh, Scotland, known for its historic aqueduct, viaduct, and proximity to the Water of Leith and Union Canal.
- 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_69ab495e192081909c77b622e8e7e15a |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd91ca1288190ba302b04bac4c153 |
completed | March 7, 2026, 7:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbbb328a88190b0ef889cbbe3bea3 |
completed | March 10, 2026, 6:35 a.m. |
Created at: March 6, 2026, 9:53 p.m.