Triple

T4769905
Position Surface form Disambiguated ID Type / Status
Subject Three Rivers District E105901 entity
Predicate containsSettlement P847 FINISHED
Object Chorleywood E215269 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: Chorleywood | Statement: [Three Rivers District, containsSettlement, Chorleywood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chorleywood
Context triple: [Three Rivers District, containsSettlement, Chorleywood]
  • A. Chorleywood chosen
    Chorleywood is a commuter village in South East England, known for its green spaces and location on the Metropolitan line within the London commuter belt.
  • B. Chorley
    Chorley is a market town in North West England known historically for its cotton industry and as part of the borough and district within the county of Lancashire.
  • C. Wantage
    Wantage is a historic market town in Oxfordshire, England, best known as the birthplace of King Alfred the Great.
  • D. Turnford
    Turnford is a village and residential area in the Broxbourne district of Hertfordshire, England, forming part of the London commuter belt.
  • E. Banbury
    Banbury is a historic market town in Oxfordshire, England, known for its medieval cross, canal-side setting, and association with the traditional Banbury cake.
  • 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_69bd43f226fc8190b867cc249c2a9042 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd655c9a2c8190adce3e2a8a1fa0a7 completed March 20, 2026, 3:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a94e340819080fe92a2024abdaf completed March 21, 2026, 6:28 a.m.
Created at: March 20, 2026, 1:21 p.m.