Triple

T1972837
Position Surface form Disambiguated ID Type / Status
Subject Blackburn E42839 entity
Predicate postTown P2711 FINISHED
Object BLACKBURN E42839 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: BLACKBURN | Statement: [Blackburn, postTown, BLACKBURN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BLACKBURN
Context triple: [Blackburn, postTown, BLACKBURN]
  • A. Blackburn
    Blackburn is a small town in West Lothian, Scotland, known primarily as a residential community within the Central Belt.
  • B. Blackburn chosen
    Blackburn is a large industrial town in Lancashire, England, historically known for its textile manufacturing and located north of Manchester.
  • C. Sunderland
    Sunderland is a coastal city in Tyne and Wear, North East England, historically known for its shipbuilding and coal-mining industries and now a center for services, education, and automotive manufacturing.
  • D. Middlesbrough
    Middlesbrough is a large industrial town and port in North Yorkshire, England, known historically for its steelmaking and chemical industries on the River Tees.
  • E. Newcastle
    Newcastle is a coastal city in New South Wales, Australia, known for its busy port, beaches, and industrial heritage.
  • 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_69a8871289048190b00b0d7744b7b2b1 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3f477988190b0165fc46b1cccfd completed March 7, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae032368508190a67fae314d0e6b21 completed March 8, 2026, 11:15 p.m.
Created at: March 4, 2026, 7:36 p.m.