Triple
T5383722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erewash Borough |
E113151
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Sawley |
E492077
|
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: Sawley | Statement: [Erewash Borough, hasSettlement, Sawley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sawley Context triple: [Erewash Borough, hasSettlement, Sawley]
-
A.
Sawley
Sawley is a small rural village in Lancashire, England, known for its historic abbey ruins and scenic setting in the Ribble Valley.
-
B.
Sawley
chosen
Sawley is a village in Derbyshire, England, situated near the town of Long Eaton on the River Trent.
-
C.
Wrottesley
Wrottesley is an English surname historically associated with a prominent aristocratic family and the title Baron Wrottesley.
-
D.
Wolverley
Wolverley is a village in Worcestershire, England, known as the birthplace of the renowned 18th-century printer and typographer John Baskerville.
-
E.
Banwell
Banwell is a village and civil parish in North Somerset, England, known for its historic caves and medieval architecture.
- 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_69bd4436a1988190af18dcff7fd306b4 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd86f39edc81908e53973cef1bc0f3 |
completed | March 20, 2026, 5:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf295030b081909bea5e946aac098b |
completed | March 21, 2026, 11:27 p.m. |
Created at: March 20, 2026, 2:03 p.m.