Triple

T22083920
Position Surface form Disambiguated ID Type / Status
Subject Cranbrook civil parish E545722 entity
Predicate administrativeCentre P1474 FINISHED
Object Cranbrook 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: Cranbrook | Statement: [Cranbrook civil parish, administrativeCentre, Cranbrook]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cranbrook
Context triple: [Cranbrook civil parish, administrativeCentre, Cranbrook]
  • A. Cranbrook
    Cranbrook is a historic market town in Kent, England, known for its well-preserved medieval architecture and role as a local rural center.
  • B. Cranbrook
    Cranbrook is a small city in southeastern British Columbia, Canada, known as a regional service and transportation hub in the Kootenay region.
  • C. Cranbrook chosen
    Cranbrook is a rapidly growing new town in Devon, England, developed near Exeter to provide substantial additional housing and community facilities.
  • D. Cranbrook, Michigan
    Cranbrook, Michigan is a historic educational and cultural campus in Bloomfield Hills known for its influential art, architecture, and design institutions.
  • E. Greendale
    Greendale is a small rural town located within the Bega Valley region of New South Wales, Australia.
  • 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_69e11e3523488190badd54b5d580c00d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128b803f081909a0a121aecf526ae completed April 28, 2026, 9:38 p.m.
Created at: April 16, 2026, 8:28 p.m.