Triple

T2586934
Position Surface form Disambiguated ID Type / Status
Subject Stane Street E58026 entity
Predicate passesNear P416 FINISHED
Object Dorking E26185 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: Dorking | Statement: [Stane Street, passesNear, Dorking]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dorking
Context triple: [Stane Street, passesNear, Dorking]
  • A. Dorking chosen
    Dorking is a historic market town in southeast England, known for its scenic setting in the Surrey Hills and its traditional high street, vineyards, and surrounding countryside.
  • B. Oxted
    Oxted is a commuter town in southeast England known for its proximity to London and location at the foot of the North Downs.
  • C. Chertsey
    Chertsey is a historic town in southeast England, known for its medieval abbey heritage and location on the River Thames.
  • D. 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.
  • E. Esher
    Esher is a suburban town in the borough of Elmbridge in Surrey, England, known for its affluent residential character and proximity to London.
  • 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_69ab4ac019c8819094add11c46706e32 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd3f8a3888190889c537e6df07305 completed March 7, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69b3737db06481908b854eff532fce18 completed March 13, 2026, 2:16 a.m.
Created at: March 6, 2026, 9:49 p.m.