Triple

T3454599
Position Surface form Disambiguated ID Type / Status
Subject Royal Military College, Duntroon E72872 entity
Predicate alsoKnownAs P39 FINISHED
Object RMC E72872 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 | Statement: [Royal Military College, Duntroon, alsoKnownAs, RMC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RMC
Context triple: [Royal Military College, Duntroon, alsoKnownAs, RMC]
  • A. RMC chosen
    RMC is the Royal Military College at Duntroon, Australia’s principal officer training academy for the Australian Army.
  • B. RMC of Canada
    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.
  • C. RMSC
    RMSC is the Rose M. Singer Center, a women’s jail facility located on Rikers Island in New York City.
  • D. RCM
    RCM is a Canadian Earth observation satellite constellation that uses radar imaging to monitor environmental changes, maritime activity, and national security.
  • E. ROKMC
    ROKMC is the elite amphibious warfare branch of South Korea’s armed forces, known for rapid deployment and high-intensity combat capabilities.
  • 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_69ad85b12a908190a1d10a6b03b4f8ae completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbaa5e2188190a8157cb8dcca8d30 completed March 8, 2026, 6:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69b360fc823c8190a0f1807b39706b3f completed March 13, 2026, 12:57 a.m.
Created at: March 8, 2026, 3:16 p.m.