Triple

T10087906
Position Surface form Disambiguated ID Type / Status
Subject Borehamwood E215266 entity
Predicate hasNeighbour P5707 FINISHED
Object Radlett E375510 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: Radlett | Statement: [Borehamwood, hasNeighbour, Radlett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Radlett
Context triple: [Borehamwood, hasNeighbour, Radlett]
  • A. Radlett chosen
    Radlett is a prosperous commuter village in southern England, situated between St Albans and London within the county of Hertfordshire.
  • 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. 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.
  • D. Welwyn
    Welwyn is a historic village and civil parish in Hertfordshire, England, known for its Roman heritage and picturesque rural character.
  • E. Welwyn Hatfield
    Welwyn Hatfield is a local government district and borough in Hertfordshire, England, that includes the towns of Welwyn Garden City and Hatfield.
  • 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_69ca83a1eed081908b2e9580f2ebeea7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd04875748190a81d1e9ad68dda96 completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69de21d85ee08190adfab9926fea1709 completed April 14, 2026, 11:15 a.m.
Created at: March 30, 2026, 9:01 p.m.