Triple

T4201880
Position Surface form Disambiguated ID Type / Status
Subject Gosforth depot E86084 entity
Predicate category P87 FINISHED
Object Tyne and Wear Metro depots 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 depots | Statement: [Gosforth depot, category, Tyne and Wear Metro depots]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tyne and Wear Metro depots
Context triple: [Gosforth depot, category, Tyne and Wear Metro depots]
  • 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. Gosforth depot
    Gosforth depot is a major maintenance and stabling facility for the Tyne and Wear Metro light rail system in Newcastle upon Tyne, England.
  • C. Trafford depot
    Trafford depot is a maintenance and stabling facility serving the Manchester Metrolink light rail network in Greater Manchester, England.
  • D. London Road depot
    London Road depot is a maintenance and stabling facility for London Underground trains serving the Bakerloo line near Waterloo in central London.
  • E. Tynemouth Metro station
    Tynemouth Metro station is a historic Tyne and Wear Metro stop in Tynemouth, England, noted for its distinctive Victorian architecture and role as a key coastal transport hub.
  • 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_69aed93b89f48190a31f6d57c760e42f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af037da30481908106b27a88d59140 completed March 9, 2026, 5:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b58a173a78819094915f63c8411602 completed March 14, 2026, 4:17 p.m.
Created at: March 9, 2026, 3:49 p.m.