Triple

T3022101
Position Surface form Disambiguated ID Type / Status
Subject AFMC E82483 entity
Predicate abbreviation P43 FINISHED
Object AFMC E82483 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: AFMC | Statement: [AFMC, abbreviation, AFMC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AFMC
Context triple: [AFMC, abbreviation, AFMC]
  • A. AFMC chosen
    AFMC is a major command of the United States Air Force responsible for research, development, testing, acquisition, and sustainment of air and space systems.
  • B. AFSC
    AFSC is a Quaker-founded social justice organization known for its peace, humanitarian, and advocacy work in the United States and internationally.
  • C. FMC
    FMC is the Spanish acronym for the Federation of Cuban Women, a mass organization in Cuba dedicated to advancing women's rights and gender equality.
  • D. AMF
    AMF is a regional Arab financial institution that promotes monetary cooperation, economic integration, and development among its member states.
  • E. ACFC
    ACFC is the commonly used abbreviation for Angel City FC, a professional women’s soccer club based in Los Angeles that competes in the National Women’s Soccer League.
  • 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_69ad8b1fb34081908c1b873e2b7273e1 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a963034819093d96566e9b0cea9 completed March 8, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1deafdcb881908174331d5bfc6349 completed March 11, 2026, 9:29 p.m.
Created at: March 8, 2026, 3 p.m.