Triple

T7892939
Position Surface form Disambiguated ID Type / Status
Subject Whalley railway station E183279 entity
Predicate nearbyCity P350 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: [Whalley railway station, nearbyCity, Blackburn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blackburn
Context triple: [Whalley railway station, nearbyCity, Blackburn]
  • A. Blackburn chosen
    Blackburn is a large industrial town in Lancashire, England, historically known for its textile manufacturing and located north of Manchester.
  • B. Blackburn
    Blackburn is a small town in West Lothian, Scotland, known primarily as a residential community within the Central Belt.
  • C. Bolton
    Bolton is a large town in North West England known for its industrial heritage, particularly in textile manufacturing, and its location northwest of Manchester.
  • D. Bolton
    Bolton is a small town located in Hartford County in the U.S. state of Connecticut.
  • E. Birkenhead
    Birkenhead is a town in north west England, situated on the Wirral Peninsula across the River Mersey from Liverpool, known historically for its shipbuilding and docks.
  • 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_69ca828c474c8190a254d6499871eaff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a008fb88190a039fec40483ab93 completed March 31, 2026, 3:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd9423b4608190acbe4a3141890a05 completed April 1, 2026, 9:54 p.m.
Created at: March 30, 2026, 5 p.m.