Triple

T10203236
Position Surface form Disambiguated ID Type / Status
Subject Windsor Bridge (pedestrian and cycle) E238936 entity
Predicate connects P390 FINISHED
Object Windsor E34732 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 | Statement: [Windsor Bridge (pedestrian and cycle), connects, Windsor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Windsor
Context triple: [Windsor Bridge (pedestrian and cycle), connects, Windsor]
  • A. Windsor chosen
    Windsor is a historic English town in Berkshire best known for Windsor Castle, one of the official residences of the British monarch and a major royal and military ceremonial site.
  • B. Windsor
    Windsor is a landmark 2013 U.S. Supreme Court case that struck down a key part of the Defense of Marriage Act, advancing federal recognition of same-sex marriages.
  • C. 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.
  • D. Windsor
    Windsor is a historic town in Connecticut recognized as the state's first English settlement and now part of the Hartford metropolitan area.
  • 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_69ca84e1ea088190b38162e43d4cfa8f completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdeed6fd0081908f8afad1ef4c6bff completed April 2, 2026, 4:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69d369b043608190a740621a2eeb49ed completed April 6, 2026, 8:07 a.m.
Created at: March 30, 2026, 9:14 p.m.