Triple

T6180709
Position Surface form Disambiguated ID Type / Status
Subject Bishopthorpe E137934 entity
Predicate locatedNear P294 FINISHED
Object City of York E85642 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: City of York | Statement: [Bishopthorpe, locatedNear, City of York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of York
Context triple: [Bishopthorpe, locatedNear, City of York]
  • A. City of York chosen
    The City of York is a historic cathedral city in North Yorkshire, England, renowned for its medieval walls, Gothic York Minster, and well-preserved old town.
  • B. Ripon
    Ripon is a small city in California’s Central Valley known for its agricultural roots and tight-knit community.
  • C. Ripon
    Ripon is a historic cathedral city in North Yorkshire, England, known for Ripon Cathedral and its traditional hornblower ceremony.
  • D. Town of York
    The Town of York is a small rural municipality in Livingston County in western New York State, known for its agricultural landscape and historic villages.
  • E. Leeds
    Leeds is a major city in West Yorkshire, England, known as a key commercial, cultural, and educational center in the north of the country.
  • 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_69c008a80f748190ba3d07ffc81acb29 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c060fdf7ac8190a0e887907ec9a922 completed March 22, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141c30d28819095d719adc421b02d completed March 23, 2026, 1:36 p.m.
Created at: March 22, 2026, 4:18 p.m.