Triple
T7156148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EGVA |
E166815
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Fairford town |
E174038
|
NE FINISHED |
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: Fairford town | Statement: [EGVA, near, Fairford town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fairford town Context triple: [EGVA, near, Fairford town]
-
A.
Fairford
chosen
Fairford is a small market town in Gloucestershire, England, known for its historic wool church and proximity to RAF Fairford airbase.
-
B.
Sharneyford
Sharneyford is a small settlement in Lancashire, England, situated within the Rossendale Valley near the border with West Yorkshire.
-
C.
Cosford
Cosford is a village in Shropshire, England, best known for its close association with RAF Cosford and the Royal Air Force Museum Cosford.
-
D.
Belchford
Belchford is a small rural village in eastern England, situated within the scenic, rolling countryside of the Lincolnshire Wolds.
-
E.
Durford
Durford is a small settlement in West Sussex, England, situated in the countryside near the River Rother.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c68887a5cc8190bec0ea96227164f7 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e80dafdc8190b24863b83f084d12 |
completed | March 27, 2026, 8:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b8f42abc8190856210b8dea0a6de |
completed | March 28, 2026, 11:18 a.m. |
Created at: March 27, 2026, 2:47 p.m.