Triple

T12638510
Position Surface form Disambiguated ID Type / Status
Subject Moor Park E301828 entity
Predicate near P350 FINISHED
Object Rickmansworth E368764 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: Rickmansworth | Statement: [Moor Park, near, Rickmansworth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rickmansworth
Context triple: [Moor Park, near, Rickmansworth]
  • A. Rickmansworth chosen
    Rickmansworth is a small town in south-west Hertfordshire, England, known for its canals, lakes, and role as a commuter suburb of London.
  • B. Harmondsworth
    Harmondsworth is a village in the London Borough of Hillingdon, England, known for its historic Great Barn and proximity to Heathrow Airport.
  • C. Welwyn Hatfield
    Welwyn Hatfield is a local government district and borough in Hertfordshire, England, that includes the towns of Welwyn Garden City and Hatfield.
  • D. 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.
  • E. Welwyn
    Welwyn is a historic village and civil parish in Hertfordshire, England, known for its Roman heritage and picturesque rural 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961499de08190bdba66ca40b021be completed April 10, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff82dcec0c8190a5e4ac0aafd34504 completed May 9, 2026, 6:54 p.m.
Created at: April 9, 2026, 5:16 p.m.