Triple
T7322012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ottershaw |
E168572
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Addlestone |
E28020
|
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: Addlestone | Statement: [Ottershaw, locatedNear, Addlestone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Addlestone Context triple: [Ottershaw, locatedNear, Addlestone]
-
A.
Addlestone
chosen
Addlestone is a suburban town in southeast England known for its residential character and proximity to London.
-
B.
Banstead
Banstead is a suburban town in southeast England known for its village-like high street and green spaces within the county of Surrey.
-
C.
Oxted
Oxted is a commuter town in southeast England known for its proximity to London and location at the foot of the North Downs.
-
D.
Wallington
Wallington is a suburban town in the London Borough of Sutton, known for its residential character, grammar schools, and green spaces in south London, England.
-
E.
Wallington
Wallington is a small rural village in the North Hertfordshire district of England, known for its historic buildings and traditional countryside character.
- 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_69c68a5251508190ad68df4151cfeb04 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6f041f4a88190b85cff1ee5f9a6d0 |
completed | March 27, 2026, 9:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea7b9d020819091342951d00661f9 |
completed | April 2, 2026, 5:30 p.m. |
Created at: March 27, 2026, 3:03 p.m.