Triple
T21926037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Leamington Spa |
E541445
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object | Milverton |
—
|
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: Milverton | Statement: [Royal Leamington Spa, hasNeighbourhood, Milverton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Milverton Context triple: [Royal Leamington Spa, hasNeighbourhood, Milverton]
-
A.
Milverton
Milverton is a historic village in Somerset, England, known for its traditional rural character and medieval parish church.
-
B.
Milverton Court
Milverton Court is a historic manor house located in the village of Milverton in Somerset, England.
-
C.
Old Milverton
chosen
Old Milverton is a small rural village in Warwickshire, England, known for its historic church and scenic countryside near the town of Leamington Spa.
-
D.
Northcliffe
Northcliffe is a small rural town in Western Australia's South West region, known as a gateway to nearby forests, national parks, and coastal landscapes.
-
E.
Wooster
Wooster is a small city in northeastern Ohio known for hosting the College of Wooster and serving as the seat of Wayne County.
- 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_69e0c47d74488190a15119108794a307 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f123fb6af08190b3562f547d4d2895 |
completed | April 28, 2026, 9:17 p.m. |
Created at: April 16, 2026, 7:46 p.m.