Triple
T11235789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cranford |
E265936
|
entity |
| Predicate | filmingLocation |
P40
|
FINISHED |
| Object | Lacock, Wiltshire |
E362954
|
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: Lacock, Wiltshire | Statement: [Cranford, filmingLocation, Lacock, Wiltshire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lacock, Wiltshire Context triple: [Cranford, filmingLocation, Lacock, Wiltshire]
-
A.
Lacock
chosen
Lacock is a picturesque English village in Wiltshire renowned for its well-preserved historic architecture and frequent use as a filming location for period dramas and films.
-
B.
Cricklade
Cricklade is a historic small town in Wiltshire, England, situated on the River Thames and known for its well-preserved Saxon origins and traditional market-town character.
-
C.
Wrea Green
Wrea Green is a picturesque village in Lancashire, England, known for its traditional village green, duck pond, and historic rural character.
-
D.
Coxwold
Coxwold is a small historic village in North Yorkshire, England, known for its picturesque setting, medieval church, and literary connections.
-
E.
Corsham, Wiltshire
Corsham, Wiltshire is a historic market town in southwest England noted for its stone-built architecture and extensive military and underground facilities.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e904cf888190826fc964f76b5cb2 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ad6308f8819085652d6c529ac821 |
completed | April 19, 2026, 10:24 a.m. |
Created at: April 8, 2026, 9:30 p.m.