Triple
T7130492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Watlington railway station |
E166173
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Watlington, Norfolk |
E49608
|
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: Watlington, Norfolk | Statement: [Watlington railway station, locatedIn, Watlington, Norfolk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Watlington, Norfolk Context triple: [Watlington railway station, locatedIn, Watlington, Norfolk]
-
A.
Watlington
chosen
Watlington is a village in Norfolk, England, known for its rural character and location near the River Great Ouse.
-
B.
Watlington
Watlington is a small historic market town in Oxfordshire, England, known for its traditional high street and location near the Chiltern Hills.
-
C.
Watlington
Watlington is a residential suburb located within the city of Timaru in the Canterbury region of New Zealand.
-
D.
Winterton
Winterton is a small town in North Lincolnshire, England, known for its historic roots and rural character.
-
E.
Wroughton
Wroughton is a large village and civil parish in Wiltshire, England, situated just south of the town of Swindon.
- 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_69c6888350588190870cd552b427a1cd |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e66dc2388190bdec018f1cc6b20a |
completed | March 27, 2026, 8:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7a33eea0481909f87e0813bc35b52 |
completed | March 28, 2026, 9:45 a.m. |
Created at: March 27, 2026, 2:44 p.m.