Triple

T7333543
Position Surface form Disambiguated ID Type / Status
Subject CMSAF E169065 entity
Predicate hasAbbreviation P43 FINISHED
Object CMSAF E169065 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: CMSAF | Statement: [CMSAF, hasAbbreviation, CMSAF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CMSAF
Context triple: [CMSAF, hasAbbreviation, CMSAF]
  • A. CMSAF chosen
    CMSAF is the highest enlisted rank and senior enlisted advisor to the Chief of Staff of the United States Air Force.
  • B. CCAF
    CCAF is a federally chartered, degree-granting institution that provides enlisted members of the U.S. Air Force and Space Force with accredited associate in applied science degrees and professional military education.
  • C. SAF
    SAF is the three-letter IATA airport code for Santa Fe Regional Airport in Santa Fe, New Mexico.
  • D. SAF
    SAF is the abbreviation commonly used for the Swiss Armed Forces, the military organization responsible for Switzerland’s national defense.
  • E. USAFE
    USAFE is the major command of the United States Air Force responsible for air operations, readiness, and support across Europe and parts of Africa.
  • 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_69c68a568a6481908f11e20db7bc8446 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0c0f87081908d12ac14d4591e23 completed March 27, 2026, 9:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ef1ac84c819095f03cf731f11c01 completed March 28, 2026, 3:09 p.m.
Created at: March 27, 2026, 3:04 p.m.