Triple
T17948118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wroughton |
E448757
|
entity |
| Predicate | civilParishOf |
P9019
|
FINISHED |
| Object | Wroughton |
—
|
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: Wroughton | Statement: [Wroughton, civilParishOf, Wroughton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wroughton Context triple: [Wroughton, civilParishOf, Wroughton]
-
A.
Wroughton
chosen
Wroughton is a large village and civil parish in Wiltshire, England, situated just south of the town of Swindon.
-
B.
Wolterton
Wolterton is an English country estate and civil parish in Norfolk, best known as the setting of the historic Wolterton Hall.
-
C.
Brinkworth
Brinkworth is a rural village and civil parish in Wiltshire, England, noted for its long, linear layout and historic buildings.
-
D.
Witton
Witton is a district in Birmingham, England, known for its residential character and proximity to major transport links and Aston Villa’s football stadium.
-
E.
Highworth
Highworth is a historic market town in Wiltshire, England, known for its elevated position and traditional architecture.
- 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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4afa9cb2481908c95f8c430dcc0aa |
completed | April 19, 2026, 10:34 a.m. |
Created at: April 10, 2026, 10:21 a.m.