Triple

T8061068
Position Surface form Disambiguated ID Type / Status
Subject Bathurst Street E188119 entity
Predicate hasNeighbourhoodAlong P16140 FINISHED
Object Thornhill E217335 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: Thornhill | Statement: [Bathurst Street, hasNeighbourhoodAlong, Thornhill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thornhill
Context triple: [Bathurst Street, hasNeighbourhoodAlong, Thornhill]
  • A. Thornhill chosen
    Thornhill is a suburban community in the Greater Toronto Area known for its diverse population, residential neighborhoods, and proximity to Toronto.
  • B. Thornhill
    Thornhill is a small village in Dumfries and Galloway, Scotland, known for its rural character and proximity to the River Nith.
  • C. Richmond Hill
    Richmond Hill is a picturesque area in southwest London known for its famous panoramic views over the River Thames and surrounding landscape.
  • D. Richmond Hill
    Richmond Hill is a small coastal city in southeastern Georgia known for its proximity to Savannah and its historic ties to industrialist Henry Ford.
  • E. Richmond Hill
    Richmond Hill is a residential neighborhood in the borough of Queens, New York City, known for its diverse population and mix of historic homes and commercial corridors.
  • 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_69ca82b2f68881908c50560697e210da completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3fcc61c0819085edc26e75c5f6d5 completed March 31, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc93d44c3481908b6e95ce8c78c602 completed April 1, 2026, 3:41 a.m.
Created at: March 30, 2026, 5:26 p.m.