Triple

T21189618
Position Surface form Disambiguated ID Type / Status
Subject Agricultural Risk Coverage program E522177 entity
Predicate acronym P43 FINISHED
Object ARC
ARC is a U.S. federal farm safety net program that provides income support to agricultural producers when their revenue or crop prices fall below guaranteed levels.
 E1470891 NE FINISHED

How this triple was built (4 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 | Statement: [Agricultural Risk Coverage program, acronym, ARC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ARC
Context triple: [Agricultural Risk Coverage program, acronym, ARC]
  • A. ARC
    ARC is the commonly used acronym for the Augmentation Research Center, a pioneering research group known for its early work on interactive computing and human–computer interaction.
  • B. ARC
    ARC is a family of configurable 32-bit RISC processor architectures commonly used in embedded and SoC designs.
  • C. ARC
    ARC is a U.S. federal–state regional economic development agency focused on improving economic growth and quality of life in the Appalachian region.
  • 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.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ARC
Triple: [Agricultural Risk Coverage program, acronym, ARC]
Generated description
ARC is a U.S. federal farm safety net program that provides income support to agricultural producers when their revenue or crop prices fall below guaranteed levels.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ARC
Target entity description: ARC is a U.S. federal farm safety net program that provides income support to agricultural producers when their revenue or crop prices fall below guaranteed levels.
  • A. ARC
    ARC is the commonly used acronym for the Augmentation Research Center, a pioneering research group known for its early work on interactive computing and human–computer interaction.
  • B. ARC
    ARC is a family of configurable 32-bit RISC processor architectures commonly used in embedded and SoC designs.
  • C. ARC
    ARC is a U.S. federal–state regional economic development agency focused on improving economic growth and quality of life in the Appalachian region.
  • 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 (5 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.
NED1 Entity disambiguation (via context triple) batch_6a097581c3c08190abbdb9ec0b915a9f completed May 17, 2026, 8 a.m.
NEDg Description generation batch_6a097652819481908da15da1fd77160f completed May 17, 2026, 8:03 a.m.
NED2 Entity disambiguation (via description) batch_6a09772e67708190856224f80cf22106 completed May 17, 2026, 8:07 a.m.
Created at: April 16, 2026, 3:07 p.m.