Triple

T23201751
Position Surface form Disambiguated ID Type / Status
Subject MediaPlex (Downtown Windsor) E580331 entity
Predicate location P40 FINISHED
Object Downtown Windsor 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: Downtown Windsor | Statement: [MediaPlex (Downtown Windsor), location, Downtown Windsor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Downtown Windsor
Context triple: [MediaPlex (Downtown Windsor), location, Downtown Windsor]
  • A. Windsor, Ontario chosen
    Windsor, Ontario is a Canadian city in southwestern Ontario known as a major automotive and manufacturing hub situated directly across the river from Detroit, Michigan.
  • B. Windsor Heights
    Windsor Heights is a small suburban city in central Iowa that functions as part of the greater Des Moines metropolitan area.
  • C. Windsor Village
    Windsor Village is a historic residential neighborhood in Los Angeles known for its early 20th-century homes and tree-lined streets near the Mid-Wilshire area.
  • D. Windsor
    Windsor is a town in Norfolk, England, served by a station on the Sandringham railway line.
  • E. Windsor
    Windsor is the royal house and family name of the reigning British monarchs, adopted in the early 20th century and borne by Queen Elizabeth II and her descendants.
  • 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_69e24602ae1481908aaa6bc7ca493867 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f19079c44881909e8677921b08b931 completed April 29, 2026, 5 a.m.
Created at: April 17, 2026, 4:06 p.m.