Triple

T2038567
Position Surface form Disambiguated ID Type / Status
Subject York County, Maine E44689 entity
Predicate namedFor P63 FINISHED
Object York, England E166944 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, England | Statement: [York County, Maine, namedFor, York, England]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: York, England
Context triple: [York County, Maine, namedFor, York, England]
  • A. York, England chosen
    York, England is a historic walled city in northern England renowned for its medieval architecture, including York Minster, and its rich Roman and Viking heritage.
  • B. London, England
    London, England is the capital and largest city of the United Kingdom, renowned as a global center for finance, culture, and politics.
  • C. Lexington, England
    Lexington, England is a historic English locality whose name was later adopted by the American town of Lexington, Massachusetts.
  • D. Kent, England
    Kent, England is a historic county in southeastern England known for its coastal towns, rich agricultural land, and nickname "the Garden of England."
  • E. Durham, England
    Durham, England is a historic cathedral city in northeast England known for its Norman architecture, including Durham Cathedral and Castle, and as a prominent university center.
  • 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_69a889159ec481908f9e4472d9f480c7 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb951870481909dbdd8fc8b0c02fe completed March 7, 2026, 5:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5d85c2208190bbd612a3ecbbacfd completed March 9, 2026, 5:41 a.m.
Created at: March 4, 2026, 7:39 p.m.