Triple

T17690971
Position Surface form Disambiguated ID Type / Status
Subject Castle Point E441025 entity
Predicate contains P35 FINISHED
Object Thundersley NE NERFINISHED

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: Thundersley | Statement: [Castle Point, contains, Thundersley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thundersley
Context triple: [Castle Point, contains, Thundersley]
  • A. Thundersley chosen
    Thundersley is a suburban area and former village in Essex, England, now largely residential and integrated into the Southend-on-Sea commuter belt.
  • B. Teversham
    Teversham is a small village and civil parish located near Cambridge in the South Cambridgeshire district of England.
  • C. Fazeley
    Fazeley is a small town in Staffordshire, England, known for its historic canals and proximity to the town of Tamworth.
  • D. Thelnetham
    Thelnetham is a small rural village and civil parish in the English county of Suffolk, known for its traditional countryside character and historic buildings.
  • E. Thurstaston
    Thurstaston is a village and coastal area on the Wirral Peninsula in England, known for its scenic countryside, shoreline, and recreational access within Wirral Country Park.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9e940b081908b862bb0e6e89b0d completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4704b43a88190ba29654ca695839e completed April 19, 2026, 6:03 a.m.
Created at: April 10, 2026, 10:03 a.m.