Triple

T9964048
Position Surface form Disambiguated ID Type / Status
Subject North Eastern Railway network E195636 entity
Predicate operatedInRegion P6665 FINISHED
Object Tyne and Wear E57532 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: Tyne and Wear | Statement: [North Eastern Railway network, operatedInRegion, Tyne and Wear]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tyne and Wear
Context triple: [North Eastern Railway network, operatedInRegion, Tyne and Wear]
  • A. Tyne and Wear chosen
    Tyne and Wear is a metropolitan county in North East England that includes major urban centers such as Newcastle upon Tyne and Sunderland.
  • B. Washington, Tyne and Wear
    Washington, Tyne and Wear is a town in North East England that forms part of the City of Sunderland and is historically associated with the ancestors of U.S. President George Washington.
  • C. Tyneside
    Tyneside is an urban region in northeast England centered on the River Tyne, best known for the city of Newcastle and its strong football and industrial heritage.
  • D. Merseyside
    Merseyside is a metropolitan county in North West England that includes the city of Liverpool and its surrounding urban areas.
  • E. Teesside
    Teesside is an urban area in North East England centered around the River Tees, encompassing towns such as Middlesbrough and Stockton-on-Tees and known for its industrial heritage.
  • 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_69ca82ebd1288190912f9e4482d1fa35 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb71a33b48190a18c1a9023f249d2 completed April 2, 2026, 12:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23d71342081908084c27790ef4fcc completed April 5, 2026, 10:46 a.m.
Created at: March 30, 2026, 8:47 p.m.