Triple

T13326492
Position Surface form Disambiguated ID Type / Status
Subject RMCC E317454 entity
Predicate shortName P43 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: [RMCC, shortName, RMC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RMC
Context triple: [RMCC, shortName, 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. RMAC
    RMAC is the abbreviated name of the Royal Mint Advisory Committee, the expert body that advises on the artistic and design aspects of UK coins, medals, seals, and official decorations.
  • D. RMSC
    RMSC is the Rose M. Singer Center, a women’s jail facility located on Rikers Island in New York City.
  • E. RCM
    RCM is a Canadian Earth observation satellite constellation that uses radar imaging to monitor environmental changes, maritime activity, and national security.
  • 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_69f7266f70088190a518e273af507361 completed May 3, 2026, 10:41 a.m.
Created at: April 9, 2026, 9:30 p.m.