Triple

T13345649
Position Surface form Disambiguated ID Type / Status
Subject Tillingbourne valley E317941 entity
Predicate hasSettlement P1068 FINISHED
Object Chilworth E356838 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: Chilworth | Statement: [Tillingbourne valley, hasSettlement, Chilworth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chilworth
Context triple: [Tillingbourne valley, hasSettlement, Chilworth]
  • A. Chieveley
    Chieveley is a rural village and civil parish in Berkshire, England, known for its historic church, countryside setting, and proximity to Newbury and major transport routes.
  • B. Bletchingley chosen
    Bletchingley is a historic village in Surrey, England, known for its medieval origins and picturesque rural setting.
  • C. Codicote
    Codicote is a village and civil parish in the county of Hertfordshire in southern England.
  • D. Earlswood
    Earlswood is a residential suburb and locality in Surrey, England, situated just south of the town of Redhill.
  • E. Chelsworth
    Chelsworth is a small rural village and civil parish in Suffolk, England, known for its historic buildings and picturesque 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99e89c65c819093f3bea11d6073c5 completed April 11, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f726738ea08190b0b7634b29f5d94e completed May 3, 2026, 10:41 a.m.
Created at: April 9, 2026, 9:31 p.m.