Triple
T19007762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warsop |
E465133
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Church Warsop |
—
|
NE NERFINISHED |
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: Church Warsop | Statement: [Warsop, hasPart, Church Warsop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Church Warsop Context triple: [Warsop, hasPart, Church Warsop]
-
A.
Warsop
chosen
Warsop is a small town and civil parish in Nottinghamshire, England, historically linked to coal mining and situated near the larger market town of Mansfield.
-
B.
Great Wakering
Great Wakering is a village and civil parish in Essex, England, situated near the North Sea coast east of Southend-on-Sea.
-
C.
Hawkenbury
Hawkenbury is a residential suburb and community area of Royal Tunbridge Wells in Kent, England.
-
D.
Swerford
Swerford is a small rural village in Oxfordshire, England, known for its historic stone cottages and picturesque countryside setting.
-
E.
Hartsop
Hartsop is a small, traditional Lakeland village in the English Lake District, known for its stone cottages and scenic valley setting near Ullswater.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6a623c481908d22c9bfad9e2939 |
completed | April 20, 2026, 7:32 a.m. |
Created at: April 10, 2026, 12:01 p.m.