Triple
T16691588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Windlestone Hall |
E405604
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Windlestone |
E405604
|
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: Windlestone | Statement: [Windlestone Hall, locatedIn, Windlestone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Windlestone Context triple: [Windlestone Hall, locatedIn, Windlestone]
-
A.
Windlestone
chosen
Windlestone is a village in County Durham, England, known for its historic country house, Windlestone Hall, and its rural surroundings.
-
B.
Shenstone
Shenstone is a village in Staffordshire, England, served by a railway station on the Cross-City Line between Birmingham and Lichfield.
-
C.
Stonethwaite
Stonethwaite is a small rural village in the Borrowdale valley of England’s Lake District, known for its scenic landscapes and traditional stone-built houses.
-
D.
Blyford
Blyford is a small rural village located in the English county of Suffolk.
-
E.
Veresdale
Veresdale is a rural locality in Queensland, Australia, known for its agricultural landscape and small-community character within the Scenic Rim region.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ea99bac8190a6c559ed7b7d8ecd |
completed | April 18, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0091984dcc8190b0b20d2e57bc3a11 |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:19 a.m.