Triple
T6483142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A232 road |
E146441
|
entity |
| Predicate | passesThrough |
P225
|
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: [A232 road, passesThrough, Coulsdon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coulsdon Context triple: [A232 road, passesThrough, 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.
Burgess Hill
Burgess Hill is a town in southeastern England known as a commuter hub with residential areas and light industry, situated within the county of West Sussex.
-
C.
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.
-
D.
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.
-
E.
Surbiton
Surbiton is a suburban area in southwest London, England, known for its commuter links to central London and its leafy residential 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_69c0090158c08190af0df9a2348d2d52 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a6cd0c4819085a921e6a361d91c |
completed | March 22, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c922a0d2688190982714e2e409465d |
completed | March 29, 2026, 1:01 p.m. |
Created at: March 22, 2026, 4:51 p.m.