Triple

T20489944
Position Surface form Disambiguated ID Type / Status
Subject Windsor Bridge E502713 entity
Predicate crossesAt P10257 FINISHED
Object Windsor and Eton 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 and Eton | Statement: [Windsor Bridge, crossesAt, Windsor and Eton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Windsor and Eton
Context triple: [Windsor Bridge, crossesAt, Windsor and Eton]
  • A. Eton
    Eton is a small city in Murray County, Georgia, known for its rural character and proximity to the Appalachian foothills.
  • B. Eton
    Eton is a Bantu language spoken by the Beti-Pahuin people, primarily in central Cameroon.
  • C. Eton, Berkshire chosen
    Eton, Berkshire is a historic English town on the River Thames best known as the home of the prestigious Eton College.
  • D. Eton College
    Eton College is a prestigious independent boarding school for boys in England, renowned for educating numerous British prime ministers and other prominent figures.
  • E. Eton School
    Eton School is a private educational institution in Santa Fe, Mexico City, known for offering bilingual, internationally oriented schooling.
  • 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_69e0b4b0373881909dd3e9387f82eab4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69b5d93ec81908259696359090b35 completed April 20, 2026, 9:32 p.m.
Created at: April 16, 2026, 11:34 a.m.