Triple

T8023401
Position Surface form Disambiguated ID Type / Status
Subject Avon Green Belt E186792 entity
Predicate appliesTo P1129 FINISHED
Object Bristol built-up area E500601 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: Bristol built-up area | Statement: [Avon Green Belt, appliesTo, Bristol built-up area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bristol built-up area
Context triple: [Avon Green Belt, appliesTo, Bristol built-up area]
  • A. Southampton urban area
    The Southampton urban area is the contiguous built-up region centered on the city of Southampton on England’s south coast, encompassing its suburbs and surrounding settlements.
  • B. Douglas conurbation
    The Douglas conurbation is the main urban and economic agglomeration centered on Douglas, the capital of the Isle of Man, encompassing surrounding residential areas such as Onchan.
  • C. Bristol commuter belt chosen
    The Bristol commuter belt is the suburban and rural area surrounding the city of Bristol from which many residents travel daily into the city for work and services.
  • D. Bristol
    Bristol is a city in central Connecticut known for being the home of ESPN and for its historic clock-making industry.
  • E. Bristol
    Bristol is a small town located in Dane County in the U.S. state of Wisconsin.
  • 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_69ca82ad4e2c8190a693e3c9e30fe66f completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3e8fb6788190a16413051ec26988 completed March 31, 2026, 3:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56d41ec08190a19cb28e2e4b5bfe completed March 31, 2026, 11:20 p.m.
Created at: March 30, 2026, 5:21 p.m.