Triple

T2410674
Position Surface form Disambiguated ID Type / Status
Subject CMG E50380 entity
Predicate highestRank P4202 FINISHED
Object GCMG E50377 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: GCMG | Statement: [CMG, highestRank, GCMG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GCMG
Context triple: [CMG, highestRank, GCMG]
  • A. GCMG chosen
    GCMG is the highest class of the Order of St Michael and St George, a British order of chivalry typically awarded to senior diplomats and officials for distinguished service in foreign affairs or overseas.
  • B. G-24
    G-24 is an intergovernmental group of developing countries that coordinates positions on international monetary and development finance issues.
  • C. GCM
    GCM (Galois/Counter Mode) is an authenticated encryption mode for block ciphers that provides both data confidentiality and integrity with high performance and parallelizability.
  • D. GCM
    GCM is the commonly used abbreviation for Grand Central Madison, a Long Island Rail Road terminal located beneath Grand Central Terminal in New York City.
  • E. CMGC
    The CMGC was a specialized Canadian military unit formed during World War I to operate machine guns in support of infantry operations.
  • 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_69a88b0339a88190a1207333cd271cc9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc9272cf4819089be118c8a49d7f9 completed March 7, 2026, 6:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef09b92048190acfa3a85417f259c completed March 9, 2026, 4:08 p.m.
Created at: March 4, 2026, 7:58 p.m.