Triple

T3264595
Position Surface form Disambiguated ID Type / Status
Subject Henry Markham E68493 entity
Predicate familyName P18 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: [Henry Markham, familyName, Markham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Markham
Context triple: [Henry Markham, familyName, 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. Woodsworth
    Woodsworth is a surname most notably associated with James Shaver Woodsworth, a pioneering Canadian social reformer and politician who helped found the Co-operative Commonwealth Federation.
  • D. 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.
  • 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_69ad8590444081909e8107a8aeef3a23 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adafcb2da08190a7f4fefdfe6d0098 completed March 8, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28ee82a78819082582a24bac97f44 completed March 12, 2026, 10:01 a.m.
Created at: March 8, 2026, 3:09 p.m.