Triple

T10082485
Position Surface form Disambiguated ID Type / Status
Subject Glen Park E213935 entity
Predicate formerMunicipalAffiliation P5557 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: [Glen Park, formerMunicipalAffiliation, City of York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of York
Context triple: [Glen Park, formerMunicipalAffiliation, 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_69ca839bf730819086900c323c9b8c95 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd03482d481908b03d35dc2d16395 completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b66b256c8190861066f7c19008d2 completed April 5, 2026, 7:22 p.m.
Created at: March 30, 2026, 9 p.m.