Triple

T15648993
Position Surface form Disambiguated ID Type / Status
Subject Buxton, Norfolk E376254 entity
Predicate hasCategory P87 FINISHED
Object Broadland E628591 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: Broadland | Statement: [Buxton, Norfolk, hasCategory, Broadland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Broadland
Context triple: [Buxton, Norfolk, hasCategory, Broadland]
  • A. Broadland chosen
    Broadland is a local government district and rural area in Norfolk, England, known for encompassing part of the Norfolk Broads and several villages and small towns.
  • B. Downlands
    Downlands is a residential suburb within the coastal city of Burnie in north-west Tasmania, Australia.
  • C. The Fens
    The Fens is a historic urban park and restored wetland in Boston, Massachusetts, designed by Frederick Law Olmsted as part of a larger interconnected greenway.
  • D. Egdon Heath
    Egdon Heath is an orchestral tone poem by Gustav Holst, inspired by Thomas Hardy’s fictional Wessex landscape and noted for its austere, atmospheric character.
  • E. Broadlands
    Broadlands is a planned residential community in Loudoun County, Virginia, known for its family-friendly neighborhoods, schools, and proximity to technology corridors in the Washington, D.C. metropolitan area.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ed7212c8190be6ff76afa25f7ca completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82e921e48190b5b5f4006ad65844 completed May 9, 2026, 6:54 p.m.
Created at: April 10, 2026, 4:15 a.m.