Triple

T20135293
Position Surface form Disambiguated ID Type / Status
Subject Thomas Rainsborough E491009 entity
Predicate familyName P18 FINISHED
Object Rainsborough 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: Rainsborough | Statement: [Thomas Rainsborough, familyName, Rainsborough]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rainsborough
Context triple: [Thomas Rainsborough, familyName, Rainsborough]
  • A. Rainsborough chosen
    Rainsborough is an English surname historically associated with notable figures in politics and the military.
  • B. Baltonsborough
    Baltonsborough is a rural village in Somerset, England, known for its agricultural landscape and proximity to the historic town of Glastonbury.
  • C. Woodnesborough
    Woodnesborough is a small village and civil parish in Kent, England, known for its rural character and historic church.
  • D. Ravensbury
    Ravensbury is a residential neighbourhood in the London Borough of Merton, known for its riverside green spaces along the River Wandle.
  • E. Ravensthorpe
    Ravensthorpe is a small rural town in Western Australia known for its mining, agriculture, and proximity to the Fitzgerald River National 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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66766e46c81908721fd47066dc9f8 completed April 20, 2026, 5:50 p.m.
Created at: April 11, 2026, 11:32 p.m.