Triple

T21189645
Position Surface form Disambiguated ID Type / Status
Subject Agricultural Risk Coverage program E522177 entity
Predicate abbreviation P43 FINISHED
Object ARC-CO — NE NERFINISHED

How this triple was built (3 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: ARC-CO | Statement: [Agricultural Risk Coverage program, abbreviation, ARC-CO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ARC-CO
Context triple: [Agricultural Risk Coverage program, abbreviation, ARC-CO]
  • A. ARC2
    ARC2 is a deep learning model architecture designed for efficient and accurate text classification tasks.
  • B. ARCIC
    ARCIC is an international ecumenical body that fosters theological dialogue and seeks closer unity between the Anglican Communion and the Roman Catholic Church.
  • C. ARC
    ARC is a family of configurable 32-bit RISC processor architectures commonly used in embedded and SoC designs.
  • D. ARC
    ARC is the Atlanta Regional Commission, a regional planning and intergovernmental coordination agency serving the metropolitan Atlanta area.
  • E. ARC
    ARC is the official abbreviation used to designate ships and assets of the Colombian Navy (Armada de la República de Colombia).
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ARC-CO
Target entity description: ARC-CO is a U.S. farm safety net program that provides income support to producers when county-level crop revenues fall below a guaranteed benchmark.
  • A. ARC2
    ARC2 is a deep learning model architecture designed for efficient and accurate text classification tasks.
  • B. ARCIC
    ARCIC is an international ecumenical body that fosters theological dialogue and seeks closer unity between the Anglican Communion and the Roman Catholic Church.
  • C. ARC
    ARC is a family of configurable 32-bit RISC processor architectures commonly used in embedded and SoC designs.
  • D. ARC
    ARC is the Atlanta Regional Commission, a regional planning and intergovernmental coordination agency serving the metropolitan Atlanta area.
  • E. ARC
    ARC is the official abbreviation used to designate ships and assets of the Colombian Navy (Armada de la República de Colombia).
  • F. None of above. chosen

Provenance (2 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_69e0b51061388190aa03f19700d3ef04 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e733350e588190a31467758a8afa5c completed April 21, 2026, 8:20 a.m.
Created at: April 16, 2026, 3:07 p.m.