Triple

T19220724
Position Surface form Disambiguated ID Type / Status
Subject Municipality of Toronto E480603 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Markham 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: Markham | Statement: [Municipality of Toronto, hasNeighbouringMunicipality, Markham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Markham
Context triple: [Municipality of Toronto, hasNeighbouringMunicipality, Markham]
  • A. Markham
    Markham is a village located in the Sirhowy Valley in south Wales, historically associated with coal mining and local industry.
  • B. Westmark
    Westmark is a young adult fantasy novel by Lloyd Alexander that follows a printer’s apprentice caught up in political upheaval and revolution in a fictional European-style kingdom.
  • C. 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.
  • D. Caledon
    Caledon is a small town in South Africa’s Western Cape province, known for its hot springs, surrounding farmlands, and proximity to the Overberg region.
  • E. Caledon
    Caledon is a largely rural town in southern Ontario, Canada, known for its scenic landscapes and inclusion within the Greater Toronto Area.
  • 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_69d8e8cb8c348190b52075823911c869 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fa3e8d488190a93fb743dabd0ffb completed April 20, 2026, 10:04 a.m.
Created at: April 10, 2026, 1:24 p.m.