Triple

T9105240
Position Surface form Disambiguated ID Type / Status
Subject West Yorkshire Metro E218461 entity
Predicate regionServed P82 FINISHED
Object Wakefield E53034 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: Wakefield | Statement: [West Yorkshire Metro, regionServed, Wakefield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wakefield
Context triple: [West Yorkshire Metro, regionServed, Wakefield]
  • A. Wakefield chosen
    Wakefield is a historic cathedral city in West Yorkshire, Northern England, known for its medieval heritage and role as an administrative and commercial center in the region.
  • B. Wakefield
    Wakefield is a small rural township in New Zealand’s Tasman District, located southwest of Nelson and serving as a local service and farming community.
  • C. Wakefield
    Wakefield is a residential neighborhood in the northern Bronx in New York City, known for its diverse community and mix of single- and multi-family homes.
  • D. Wakefield
    Wakefield is a residential neighborhood in the northern Bronx of New York City known for its diverse community and mix of single- and multi-family homes.
  • E. Wakefield
    Wakefield is a suburban town in Middlesex County, Massachusetts, known for its commuter access to Boston and its scenic Lake Quannapowitt.
  • 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_69ca83db7448819090d0a5de842ef2ac completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca5714d048190a633caaaa707ac3b completed April 1, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09b66432081908f557fba2cbf2f6d completed April 4, 2026, 5:02 a.m.
Created at: March 30, 2026, 7:15 p.m.