Triple

T2154148
Position Surface form Disambiguated ID Type / Status
Subject York railway station E47847 entity
Predicate hasServiceTo P6787 FINISHED
Object Middlesbrough E219312 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: Middlesbrough | Statement: [York railway station, hasServiceTo, Middlesbrough]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Middlesbrough
Context triple: [York railway station, hasServiceTo, Middlesbrough]
  • A. Middlesbrough chosen
    Middlesbrough is a large industrial town and port in North Yorkshire, England, known historically for its steelmaking and chemical industries on the River Tees.
  • B. Barnsley
    Barnsley is a large market town and former industrial centre in South Yorkshire, England, historically known for coal mining and glassmaking.
  • C. Huddersfield
    Huddersfield is a large market town in West Yorkshire, England, known for its Victorian architecture, university, and role in the Industrial Revolution.
  • D. 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.
  • E. Wigan
    Wigan is a large town in North West England known historically for its coal mining and cotton industries and today for its rugby league and football clubs.
  • 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_69a88a1d1fd8819088b34990d69a712f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe64fdf081909a5ea6818bddd18c completed March 7, 2026, 5:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58e32814819096d479ac6b5d241d completed March 9, 2026, 5:21 a.m.
Created at: March 4, 2026, 7:44 p.m.