Triple
T22672174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clowne |
E560245
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Whitwell |
—
|
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: Whitwell | Statement: [Clowne, locatedNear, Whitwell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Whitwell Context triple: [Clowne, locatedNear, Whitwell]
-
A.
Whitwell
Whitwell is a small rural village on the Isle of Wight in England, known for its historic church and traditional countryside character.
-
B.
Whitwell
Whitwell is a small village and civil parish located in the county of Hertfordshire in southern England.
-
C.
Whitwell
chosen
Whitwell is a village in Derbyshire, England, known for its proximity to the prehistoric limestone gorge and archaeological site of Creswell Crags.
-
D.
Whitwell, Tennessee
Whitwell, Tennessee is a small city in southeastern Tennessee known for its rural character and its middle school's internationally recognized "Paper Clips Project" Holocaust memorial.
-
E.
Maynardville
Maynardville is a small city in Union County, Tennessee, known as the county seat and part of the greater Knoxville metropolitan region.
- 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_69e2454bfd00819099115715a22cb057 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17820a8088190bc0ce907adf95863 |
completed | April 29, 2026, 3:16 a.m. |
Created at: April 17, 2026, 3:10 p.m.