Triple

T13326444
Position Surface form Disambiguated ID Type / Status
Subject RMC of Canada E317453 entity
Predicate shortName P43 FINISHED
Object RMC of Canada E317453 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: RMC of Canada | Statement: [RMC of Canada, shortName, RMC of Canada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RMC of Canada
Context triple: [RMC of Canada, shortName, RMC of Canada]
  • A. RMC of Canada chosen
    RMC of Canada is a bilingual Canadian military academy and degree-granting university that educates and trains officer cadets for service in the Canadian Armed Forces.
  • B. RMC
    RMC is the Royal Military College at Duntroon, Australia’s principal officer training academy for the Australian Army.
  • C. RCM of Quebec
    RCM of Quebec is an administrative regional county municipality in the Canadian province of Quebec that groups together several local municipalities for regional governance and services.
  • D. Power Corporation of Canada
    Power Corporation of Canada is a major Canadian diversified international management and holding company with significant interests in financial services, asset management, and renewable energy.
  • E. Murray & Roberts
    Murray & Roberts is a major South African engineering and construction group known for delivering large, complex infrastructure and building projects worldwide.
  • 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_69d806b4d62c81908d4ced1665414be5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9992d3b0881909732fbb8db98e44c completed April 11, 2026, 12:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f2f69a88190b11e61a922786fc4 completed May 3, 2026, 10:10 a.m.
Created at: April 9, 2026, 9:30 p.m.