Triple

T10948522
Position Surface form Disambiguated ID Type / Status
Subject 1st Hussars E258662 entity
Predicate garrison P75 FINISHED
Object London, Ontario E24077 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: London, Ontario | Statement: [1st Hussars, garrison, London, Ontario]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: London, Ontario
Context triple: [1st Hussars, garrison, London, Ontario]
  • A. London, Ontario chosen
    London, Ontario is a mid-sized Canadian city in southwestern Ontario known for its educational institutions, healthcare sector, and role as a regional economic and cultural hub.
  • B. York, Ontario
    York, Ontario is a former municipality and now a district within the city of Toronto, Canada, known for its diverse residential neighborhoods and major north–south thoroughfares.
  • C. Richmond, Ontario
    Richmond, Ontario is a historic rural village within the city of Ottawa, known as one of the region’s earliest military settlements.
  • D. King City, Ontario
    King City, Ontario is a community in the township of King, north of Toronto, known for hosting major cricket events at the Maple Leaf Cricket Club.
  • E. Windsor, Ontario
    Windsor, Ontario is a Canadian city in southwestern Ontario known as a major automotive and manufacturing hub situated directly across the river from Detroit, Michigan.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770ec7028819084f5ce2035a128e4 completed April 9, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69e3c79bc53481908552af9ebd582edf completed April 18, 2026, 6:04 p.m.
Created at: April 8, 2026, 9:23 p.m.