Triple
T18556632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Causton CID |
E453521
|
entity |
| Predicate | servesArea |
P82
|
FINISHED |
| Object | Midsomer County |
—
|
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: Midsomer County | Statement: [Causton CID, servesArea, Midsomer County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Midsomer County Context triple: [Causton CID, servesArea, Midsomer County]
-
A.
Barsetshire
chosen
Barsetshire is a fictional English county created by Anthony Trollope as the backdrop for his series of Victorian social and clerical novels.
-
B.
Avon and Somerset
Avon and Somerset is a ceremonial county and policing area in South West England that includes the cities of Bristol and Bath and surrounding rural districts.
-
C.
Crawley, Hampshire
Crawley, Hampshire is a small rural village in the Test Valley district of England, known for its historic charm and countryside setting.
-
D.
Staffordshire
Staffordshire is a landlocked county in the West Midlands of England known for its industrial heritage, particularly in pottery and brewing, and its mix of rural landscapes and historic towns.
-
E.
Somerset
Somerset is a historic county in South West England known for its rural landscapes, coastal areas, and cities such as Bath and Wells.
- 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_69d8d388b0c881908e610a1c45b52640 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53806d2a08190963f4d8e927a247f |
completed | April 19, 2026, 8:16 p.m. |
Created at: April 10, 2026, 11:39 a.m.