Triple

T23176902
Position Surface form Disambiguated ID Type / Status
Subject King of Northumbria E579029 entity
Predicate hasCapital P204 FINISHED
Object York 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: York | Statement: [King of Northumbria, hasCapital, York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: York
Context triple: [King of Northumbria, hasCapital, York]
  • A. York chosen
    York is a historic walled city in North Yorkshire, England, renowned for its medieval architecture, including York Minster, and its rich Roman and Viking heritage.
  • B. York
    York is a historic former municipality in Ontario, Canada, that is now part of the modern city of Toronto.
  • C. York
    York is a historic rural town in Western Australia’s Wheatbelt region, known for its heritage architecture and agricultural surroundings.
  • D. York
    York is a historic city in south-central Pennsylvania known for its colonial heritage, role in the American Revolution, and location within the state’s Pennsylvania Dutch Country region.
  • E. York
    York is a well-known global brand of heating, ventilation, air conditioning, and refrigeration (HVAC&R) equipment owned by Johnson Controls.
  • 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_69e245fd2a388190b814c0dfa15f7148 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f6b823c8190a2d39c54e48a1001 completed April 29, 2026, 4:56 a.m.
Created at: April 17, 2026, 4:04 p.m.