Triple

T1579631
Position Surface form Disambiguated ID Type / Status
Subject Leeds and Liverpool Canal E33731 entity
Predicate passesThrough P225 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: [Leeds and Liverpool Canal, passesThrough, Blackburn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blackburn
Context triple: [Leeds and Liverpool Canal, passesThrough, 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. 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.
  • E. Bradford
    Bradford is a major city in West Yorkshire, Northern England, known for its industrial heritage, diverse population, and role in the wool and textile industries.
  • 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_69a885f27a4c8190a4622252cdf54c00 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a908d78fe48190b155f85deca59639 completed March 5, 2026, 4:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad680b40908190acf505992848dae9 completed March 8, 2026, 12:14 p.m.
Created at: March 4, 2026, 7:27 p.m.