Triple
T1163349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caterham |
E24541
|
entity |
| Predicate | hasNeighbouringSettlement |
P4647
|
FINISHED |
| Object | Coulsdon |
E208722
|
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: Coulsdon | Statement: [Caterham, hasNeighbouringSettlement, Coulsdon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coulsdon Context triple: [Caterham, hasNeighbouringSettlement, Coulsdon]
-
A.
Coulsdon
chosen
Coulsdon is a suburban town in the London Borough of Croydon, England, known for its residential character and proximity to the North Downs.
-
B.
Weybridge
Weybridge is a suburban town in southeast England known for its affluent residential areas and proximity to the River Thames and major transport links into London.
-
C.
Warlingham
Warlingham is a village and civil parish in Surrey, England, situated on the North Downs and functioning largely as a commuter settlement for London.
-
D.
Teddington
Teddington is a suburban town in southwest London, England, known for its riverside location on the Thames and proximity to several royal parks.
-
E.
Walton-on-Thames
Walton-on-Thames is a suburban town on the River Thames in southeast England, known for its commuter links to London and riverside amenities.
- 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_69a494060e148190abb42f971242c197 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bcc9dc5081908e225a485186ab12 |
completed | March 1, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae589f5c588190a207ffa2691490b7 |
completed | March 9, 2026, 5:20 a.m. |
Created at: March 1, 2026, 7:45 p.m.