Triple

T7993311
Position Surface form Disambiguated ID Type / Status
Subject Mary of York E186060 entity
Predicate burialPlace P196 FINISHED
Object Windsor, Berkshire E74523 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: Windsor, Berkshire | Statement: [Mary of York, burialPlace, Windsor, Berkshire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Windsor, Berkshire
Context triple: [Mary of York, burialPlace, Windsor, Berkshire]
  • A. Windsor, Berkshire, England chosen
    Windsor, Berkshire, England is a historic market town on the River Thames best known as the site of Windsor Castle, one of the principal residences of the British monarch.
  • B. Windsor
    Windsor is a small town in northern Colorado known for its rapidly growing residential communities and proximity to major Front Range cities like Fort Collins and Greeley.
  • C. Windsor
    Windsor is a historic town in Connecticut recognized as the state's first English settlement and now part of the Hartford metropolitan area.
  • D. Windsor
    Windsor is a Canadian city in southwestern Ontario located directly across the Detroit River from Detroit, known for its automotive industry and role as a key border crossing between Canada and the United States.
  • E. Windsor
    Windsor is a village in south-central Wisconsin, United States, located just north of the city of Madison.
  • 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_69ca829c6c308190ab05b43d234c52b2 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c729afc81909d477b1623ac3f9d completed March 31, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc93991e9c8190a6834b8d9fd82128 completed April 1, 2026, 3:40 a.m.
Created at: March 30, 2026, 5:16 p.m.