Triple

T6521857
Position Surface form Disambiguated ID Type / Status
Subject Todmorden railway station E151201 entity
Predicate hasServiceTo P6787 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: [Todmorden railway station, hasServiceTo, Blackburn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blackburn
Context triple: [Todmorden railway station, hasServiceTo, 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_69c687f522748190b3058405553cdabd completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ad95c2c88190b800aaaa73f99210 completed March 27, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eece13088190a49a72d5a784f6f8 completed March 27, 2026, 8:55 p.m.
Created at: March 27, 2026, 1:45 p.m.