Triple
T1245192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oxted |
E26747
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Caterham |
E24541
|
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: Caterham | Statement: [Oxted, near, Caterham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caterham Context triple: [Oxted, near, Caterham]
-
A.
Caterham
chosen
Caterham is a town in the Tandridge district of Surrey, England, known as a commuter settlement on the edge of the London metropolitan area.
-
B.
Cobham
Cobham is a village in Surrey, England, known for its affluent residential character, proximity to London, and scenic riverside setting.
-
C.
Enstone
Enstone is a rural village in Oxfordshire, England, known for its historic buildings and picturesque Cotswold countryside setting.
-
D.
Caterham Valley
Caterham Valley is a district and commercial center within the town of Caterham in Surrey, England, known for its shopping area and railway station.
-
E.
Bentley, Hampshire
Bentley, Hampshire is a small rural village in southern England known for its traditional countryside setting and proximity to the town of Alton.
- 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_69a4948689d08190b3a4a3f388c02148 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf6498948190b30b09d845d67ac4 |
completed | March 1, 2026, 10:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac8f7da5c48190b013f1578c160d78 |
completed | March 7, 2026, 8:50 p.m. |
Created at: March 1, 2026, 7:47 p.m.