Triple

T1110045
Position Surface form Disambiguated ID Type / Status
Subject Tunbridge Wells borough E25572 entity
Predicate hasTown P847 FINISHED
Object Cranbrook E126965 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: Cranbrook | Statement: [Tunbridge Wells borough, hasTown, Cranbrook]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cranbrook
Context triple: [Tunbridge Wells borough, hasTown, Cranbrook]
  • A. Cranbrook chosen
    Cranbrook is a historic market town in Kent, England, known for its well-preserved medieval architecture and role as a local rural center.
  • B. Kirkewood
    Kirkewood is an alternative spelling of the name Kirkwood, which is used for various places and surnames in English-speaking regions.
  • C. Conant
    Conant is a surname most notably associated with James B. Conant, an influential American chemist, educator, and former president of Harvard University.
  • D. Edgewood
    Edgewood is a residential neighborhood in the city of Homewood, Alabama, known for its walkable streets, historic homes, and small-town commercial district.
  • E. Hanwood
    Hanwood is a small town in the Riverina region of New South Wales, Australia, known for its irrigated agriculture and wine production.
  • 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_69a49428d4448190b3b36991ceae87ce completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bb75eec08190b1d6545e96816d34 completed March 1, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac53935d108190955343cd1d3716b0 completed March 7, 2026, 4:34 p.m.
Created at: March 1, 2026, 7:43 p.m.