Triple

T1955755
Position Surface form Disambiguated ID Type / Status
Subject Don River E42263 entity
Predicate flowsThrough P225 FINISHED
Object Markham E40557 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: Markham | Statement: [Don River, flowsThrough, Markham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Markham
Context triple: [Don River, flowsThrough, Markham]
  • A. Markham, Ontario chosen
    Markham, Ontario is a rapidly growing city in the Greater Toronto Area known for its diverse population, high-tech industry hub, and blend of urban and suburban communities.
  • B. Caledon
    Caledon is a largely rural town in southern Ontario, Canada, known for its scenic landscapes and inclusion within the Greater Toronto Area.
  • C. Etobicoke
    Etobicoke is a large suburban district in the western part of Toronto, Ontario, known for its residential neighborhoods, parks, and industrial areas along the waterfront.
  • D. 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.
  • E. Mimico
    Mimico is a historic waterfront neighbourhood in the former city of Etobicoke, now part of Toronto, known for its lakeside parks, residential streets, and proximity to Lake Ontario.
  • 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.