Triple
T18539535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thorpe, Derbyshire |
E453054
|
entity |
| Predicate | postTown |
P2711
|
FINISHED |
| Object | ASHBOURNE |
—
|
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: ASHBOURNE | Statement: [Thorpe, Derbyshire, postTown, ASHBOURNE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ASHBOURNE Context triple: [Thorpe, Derbyshire, postTown, ASHBOURNE]
-
A.
Ashbourne
chosen
Ashbourne is a historic market town in Derbyshire, England, known for its traditional architecture and annual Royal Shrovetide Football match.
-
B.
Ashbourne
Ashbourne is a rapidly growing commuter town in County Meath, Ireland, located northwest of Dublin and known for its residential developments and local amenities.
-
C.
Ashford
Ashford is a small rural town in northern New South Wales, Australia, known for agriculture and its proximity to natural attractions such as caves and rivers.
-
D.
Ashford
Ashford is an inner south-western suburb of Adelaide, South Australia, known for its proximity to the city centre and major medical facilities.
-
E.
Ashford
Ashford is a large and rapidly growing town in the county of Kent in southeast England, known as a key transport hub with high-speed rail links to London and continental Europe.
- 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e534b5863881908915a6762718d3f7 |
completed | April 19, 2026, 8:01 p.m. |
Created at: April 10, 2026, 11:37 a.m.