Triple

T4855174
Position Surface form Disambiguated ID Type / Status
Subject A22 road E108518 entity
Predicate passesThrough P225 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: [A22 road, passesThrough, Caterham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caterham
Context triple: [A22 road, passesThrough, 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. Cheveley
    Cheveley is a small rural village and civil parish in eastern England, known for its historic church and proximity to the horse-racing town of Newmarket.
  • C. Cobham
    Cobham is a village in Surrey, England, known for its affluent residential character, proximity to London, and scenic riverside setting.
  • D. Cobham
    Cobham is a clan associated with the Efik people, an ethnic group primarily found in southeastern Nigeria.
  • E. Enstone
    Enstone is a rural village in Oxfordshire, England, known for its historic buildings and picturesque Cotswold countryside setting.
  • 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_69bd440a89548190a5f14ba6da6b97dc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d3c9d7881908c04cef2cb7db745 completed March 20, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5ce7385c8190897fd2343c0ebeed completed March 21, 2026, 8:55 a.m.
Created at: March 20, 2026, 1:26 p.m.