Triple

T10090823
Position Surface form Disambiguated ID Type / Status
Subject Thurston Hall E215338 entity
Predicate givenName P17 FINISHED
Object Thurston E299698 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: Thurston | Statement: [Thurston Hall, givenName, Thurston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thurston
Context triple: [Thurston Hall, givenName, Thurston]
  • A. Thurston chosen
    Thurston is a village and civil parish in Suffolk, England, known for its rural character and local community amenities.
  • B. Douglas
    Douglas is a small rural community located within the township of Bonnechere Valley in eastern Ontario, Canada.
  • C. Douglas
    Douglas is a small lakeside city in Allegan County, Michigan, known for its arts community and proximity to Lake Michigan beaches.
  • D. Douglas
    Douglas is a small community located on Douglas Island across from downtown Juneau in southeastern Alaska.
  • E. Douglas
    Douglas is a suburban area of Cork, Ireland, known as a residential and commercial hub just southeast of Cork city centre.
  • 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_69cdd05960008190baecb8e4c9f2461f completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b6a587e0819093f38d5e69db43ec completed April 5, 2026, 7:23 p.m.
Created at: March 30, 2026, 9:01 p.m.