Triple

T15467015
Position Surface form Disambiguated ID Type / Status
Subject 4 PARA E372055 entity
Predicate garrison P75 FINISHED
Object York E29705 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: York | Statement: [4 PARA, garrison, York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: York
Context triple: [4 PARA, garrison, York]
  • A. York
    York is a historic former municipality in Ontario, Canada, that is now part of the modern city of Toronto.
  • B. York
    York is a historic rural town in Western Australia’s Wheatbelt region, known for its heritage architecture and agricultural surroundings.
  • C. 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.
  • D. York
    York is a well-known global brand of heating, ventilation, air conditioning, and refrigeration (HVAC&R) equipment owned by Johnson Controls.
  • E. York
    York is a common English surname historically associated with the city of York in England and borne by various notable individuals and families.
  • 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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f69a31c81909a749247b6615d91 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3657972481909219bc040f674c02 completed May 9, 2026, 1:27 p.m.
Created at: April 10, 2026, 3:33 a.m.