Triple
T12792362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coalville |
E305799
|
entity |
| Predicate | postalTown |
P2711
|
FINISHED |
| Object | COALVILLE |
E305799
|
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: COALVILLE | Statement: [Coalville, postalTown, COALVILLE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: COALVILLE Context triple: [Coalville, postalTown, COALVILLE]
-
A.
Coalville
chosen
Coalville is an industrial town in Leicestershire, England, historically known for its coal mining and manufacturing heritage.
-
B.
Clay Cross
Clay Cross is a former coal mining and industrial town in North East Derbyshire, England.
-
C.
Wolverley
Wolverley is a village in Worcestershire, England, known as the birthplace of the renowned 18th-century printer and typographer John Baskerville.
-
D.
Coleshill
Coleshill is a historic market town in Warwickshire, England, situated to the east of Birmingham and known for its traditional high street and rural surroundings.
-
E.
Coleshill
Coleshill is a small village in Buckinghamshire, England, known for its rural character and proximity to the market town of Amersham.
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e6b55248190ab938e69eb263612 |
completed | April 10, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6850ac1808190a9b547d934252d10 |
completed | May 2, 2026, 11:13 p.m. |
Created at: April 9, 2026, 5:30 p.m.