Triple
T6047423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | County of Leicestershire |
E134701
|
entity |
| Predicate | contains |
P35
|
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: [County of Leicestershire, contains, Coalville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coalville Context triple: [County of Leicestershire, contains, Coalville]
-
A.
Coalville
chosen
Coalville is an industrial town in Leicestershire, England, historically known for its coal mining and manufacturing heritage.
-
B.
Wolverley
Wolverley is a village in Worcestershire, England, known as the birthplace of the renowned 18th-century printer and typographer John Baskerville.
-
C.
Wrottesley
Wrottesley is an English surname historically associated with a prominent aristocratic family and the title Baron Wrottesley.
-
D.
Thamesville
Thamesville is a small community in southwestern Ontario, Canada, known for its rural character and location within the municipality of Chatham-Kent.
-
E.
Wilcote
Wilcote is a small rural village in the district of West Oxfordshire in Oxfordshire, England.
- 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_69c00876a69881908088a2626d3b2666 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056e70fd48190b4554e9a516a1c88 |
completed | March 22, 2026, 8:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c113a2b65c8190a1891e790cb9a5de |
completed | March 23, 2026, 10:19 a.m. |
Created at: March 22, 2026, 4:09 p.m.