Triple

T22132225
Position Surface form Disambiguated ID Type / Status
Subject Sheet Street, Windsor E546931 entity
Predicate partOf P40 FINISHED
Object Windsor town centre 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: Windsor town centre | Statement: [Sheet Street, Windsor, partOf, Windsor town centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Windsor town centre
Context triple: [Sheet Street, Windsor, partOf, Windsor town centre]
  • A. Windsor Royal Shopping chosen
    Windsor Royal Shopping is a retail and leisure complex in Windsor, England, housed partly within the historic former Windsor & Eton Central railway station.
  • B. 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.
  • C. Windsor
    Windsor is a village in south-central Wisconsin, United States, located just north of the city of Madison.
  • D. 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.
  • E. Windsor
    Windsor is a small town in Sonoma County, California, known for its wineries, scenic surroundings, and role as a gateway to the Russian River Valley wine region.
  • 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_69e11e39bf348190b541bfa16a7b71e0 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1298746888190967b4e3ae0558e9e completed April 28, 2026, 9:41 p.m.
Created at: April 16, 2026, 8:32 p.m.