Triple

T14328025
Position Surface form Disambiguated ID Type / Status
Subject Forest Hall E355262 entity
Predicate servedBy P82 FINISHED
Object Tyne and Wear Metro E13083 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 Metro | Statement: [Forest Hall, servedBy, Tyne and Wear Metro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tyne and Wear Metro
Context triple: [Forest Hall, servedBy, Tyne and Wear Metro]
  • A. Tyne and Wear Metro chosen
    Tyne and Wear Metro is a light rail rapid transit system serving Newcastle upon Tyne, Sunderland, and surrounding areas in North East England.
  • B. Sheffield Supertram
    Sheffield Supertram is a modern light rail and tram network serving the city of Sheffield and its surrounding areas in South Yorkshire, England.
  • C. Merseyrail
    Merseyrail is a commuter rail network serving the Liverpool City Region and surrounding areas in Merseyside, England.
  • D. Manchester Metrolink
    Manchester Metrolink is a light rail/tram network serving Greater Manchester, England, connecting the city centre with surrounding suburbs and key regional destinations.
  • E. West Yorkshire Metro
    West Yorkshire Metro is the public transport executive responsible for coordinating and promoting bus and rail services across the West Yorkshire region in England.
  • 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_69d8278fa2108190bc0d0e7939c1eb03 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8c1c3e70819084b6728ac5c18561 completed April 14, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd46927af48190b91095d852fcacbe completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:13 a.m.