Triple

T20040926
Position Surface form Disambiguated ID Type / Status
Subject County Hall, Wakefield E497411 entity
Predicate locatedIn P40 FINISHED
Object Wakefield NE NERFINISHED

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: [County Hall, Wakefield, locatedIn, Wakefield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wakefield
Context triple: [County Hall, Wakefield, locatedIn, 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 picturesque village in western Quebec, Canada, known for its historic covered bridge, arts community, and scenic setting along the Gatineau River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e662eb9a6081909d06dc1d457b4d5a completed April 20, 2026, 5:31 p.m.
Created at: April 11, 2026, 3:36 p.m.