Triple

T13218105
Position Surface form Disambiguated ID Type / Status
Subject Rouge River E314673 entity
Predicate nearbyCity P350 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: [Rouge River, nearbyCity, Markham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Markham
Context triple: [Rouge River, nearbyCity, Markham]
  • A. Markham
    Markham is a village located in the Sirhowy Valley in south Wales, historically associated with coal mining and local industry.
  • B. 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.
  • C. 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.
  • D. Caledon
    Caledon is a largely rural town in southern Ontario, Canada, known for its scenic landscapes and inclusion within the Greater Toronto Area.
  • E. Manotick
    Manotick is a suburban village within the city of Ottawa, Ontario, known for its historic mill and scenic setting along the Rideau River.
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98cf392e08190949ee4d194566395 completed April 10, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f71f15a99c8190b70a3e2a55e67a4e completed May 3, 2026, 10:10 a.m.
Created at: April 9, 2026, 9:18 p.m.