Triple
T18910640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mucklewick Hill |
E462595
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Minsterley |
—
|
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: Minsterley | Statement: [Mucklewick Hill, nearbySettlement, Minsterley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Minsterley Context triple: [Mucklewick Hill, nearbySettlement, Minsterley]
-
A.
Minsterley
chosen
Minsterley is a village and civil parish in Shropshire, England, known for its rural setting near the Stiperstones hills and its historic local industries.
-
B.
Minster Lovell
Minster Lovell is a picturesque Cotswold village in Oxfordshire, England, noted for its historic ruined hall on the River Windrush and traditional stone-built houses.
-
C.
Minstead
Minstead is a small village in Hampshire, England, best known as the burial place of Sir Arthur Conan Doyle.
-
D.
Kidderminster
Kidderminster is a historic market and industrial town in Worcestershire, England, traditionally known for its carpet manufacturing.
-
E.
Ombersley
Ombersley is a village and civil parish in Worcestershire, England, known for its historic timber-framed buildings and rural riverside setting.
- 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c6226f4081909b77aac26c574980 |
completed | April 20, 2026, 6:22 a.m. |
Created at: April 10, 2026, 11:58 a.m.