Triple

T413562
Position Surface form Disambiguated ID Type / Status
Subject John Sharp E9541 entity
Predicate residence 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: [John Sharp, residence, York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: York
Context triple: [John Sharp, residence, 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. Manchester
    Manchester is a major city in northwest England known for its industrial heritage, vibrant cultural scene, and influential contributions to music, sport, and science.
  • D. Lancaster
    Lancaster is a historic city in North West England known for its medieval castle, Georgian architecture, and role as the county town of Lancashire.
  • E. Lancaster
    The Lancaster is a British four-engined World War II heavy bomber renowned for its major role in night bombing campaigns and famous missions such as the "Dambusters" raid.
  • 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_69a2e80111fc8190961d5b7c6154123f completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ecdc422881908910428fd1aee7c6 completed Feb. 28, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4ff465c2c819083d63547a4d0572a completed March 2, 2026, 3:08 a.m.
Created at: Feb. 28, 2026, 1:09 p.m.