Triple

T7040367
Position Surface form Disambiguated ID Type / Status
Subject Lea Valley lines E163493 entity
Predicate hasStation P35 FINISHED
Object Cheshunt E310201 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: Cheshunt | Statement: [Lea Valley lines, hasStation, Cheshunt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cheshunt
Context triple: [Lea Valley lines, hasStation, Cheshunt]
  • A. Cheshunt chosen
    Cheshunt is a town in Hertfordshire, England, situated just north of London and known as a commuter hub with rail links into the capital.
  • B. Hoddesdon
    Hoddesdon is a historic market town in southern England known for its traditional high street, commuter links to London, and proximity to the River Lea.
  • C. Radlett
    Radlett is a prosperous commuter village in southern England, situated between St Albans and London within the county of Hertfordshire.
  • D. Loughton
    Loughton is a suburban town in southeast England known for its proximity to Epping Forest and its role as a commuter hub within the London metropolitan area.
  • E. Epping
    Epping is a market town in the Epping Forest district of Essex, England, known for its historic high street and proximity to the ancient Epping Forest.
  • 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_69c6885e7c1c8190be32a8f79ab4e0cf completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e22544708190b0dffb5256d4cda6 completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84eda551081909c8489f3848846f3 completed March 28, 2026, 9:57 p.m.
Created at: March 27, 2026, 2:36 p.m.