Triple

T20209037
Position Surface form Disambiguated ID Type / Status
Subject Bellingen Shire E493437 entity
Predicate hasLocality P7943 FINISHED
Object Brierfield 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: Brierfield | Statement: [Bellingen Shire, hasLocality, Brierfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brierfield
Context triple: [Bellingen Shire, hasLocality, Brierfield]
  • A. Brierfield chosen
    Brierfield is a small rural locality in New South Wales, Australia, known for its farmland and bushland within the Bellinger Valley region.
  • B. Brierfield
    Brierfield is a small town in Lancashire, England, known for its historic textile industry and location near the town of Nelson.
  • C. Bonfield
    Bonfield is a small rural community in northeastern Ontario, Canada, known for its lakeside setting and outdoor recreational opportunities.
  • D. Milnrow
    Milnrow is a town in Greater Manchester, England, historically part of Lancashire and known for its textile heritage and proximity to the Pennine hills.
  • E. Northenden
    Northenden is a suburban area of Manchester, England, situated on the River Mersey in the south of the city.
  • 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66d94999c8190b67051cb0acea213 completed April 20, 2026, 6:16 p.m.
Created at: April 11, 2026, 11:38 p.m.