Triple

T12470323
Position Surface form Disambiguated ID Type / Status
Subject Thornaby railway station E298037 entity
Predicate nearbyCity P350 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: [Thornaby railway station, nearbyCity, Middlesbrough]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Middlesbrough
Context triple: [Thornaby railway station, nearbyCity, 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_69d6ada270808190b1a2b2e7b02bb426 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dba7f6c8190b272f649e0777362 completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f2175c48190bbd28ad8c07434f0 completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:56 p.m.