Triple

T1955756
Position Surface form Disambiguated ID Type / Status
Subject Don River E42263 entity
Predicate flowsThrough P225 FINISHED
Object Richmond Hill E40378 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: Richmond Hill | Statement: [Don River, flowsThrough, Richmond Hill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richmond Hill
Context triple: [Don River, flowsThrough, Richmond Hill]
  • A. 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.
  • B. Thornhill
    Thornhill is a suburban community in the Greater Toronto Area known for its diverse population, residential neighborhoods, and proximity to Toronto.
  • C. Richmond Hill, Ontario chosen
    Richmond Hill, Ontario is a suburban city in the Greater Toronto Area known for its diverse population, strong economy, and rapidly growing residential communities.
  • D. Lansdowne
    Lansdowne is a small suburban borough in Delaware County, Pennsylvania, known for its historic homes and proximity to Philadelphia.
  • E. Cheviot Hills
    Cheviot Hills is an affluent, primarily residential neighborhood on Los Angeles’s Westside known for its quiet streets, golf courses, and proximity to major film and television studios.
  • 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_69a8870eea088190a38781990812a9bc completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb37b4a38819099f98be92be91ade completed March 7, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae031cc7948190a4d9593cd118c149 completed March 8, 2026, 11:15 p.m.
Created at: March 4, 2026, 7:36 p.m.