Triple

T5487298
Position Surface form Disambiguated ID Type / Status
Subject Appalachian Regional Commission E123614 entity
Predicate hasAbbreviation P43 FINISHED
Object 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.
 E522798 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: [Appalachian Regional Commission, hasAbbreviation, ARC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ARC
Context triple: [Appalachian Regional Commission, hasAbbreviation, 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. ARK
    ARK is the standard abbreviation used for the Arkansas Travelers Minor League Baseball team.
  • D. ARC2
    ARC2 is a deep learning model architecture designed for efficient and accurate text classification tasks.
  • E. ARCIC
    ARCIC is an international ecumenical body that fosters theological dialogue and seeks closer unity between the Anglican Communion and the Roman Catholic Church.
  • 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: [Appalachian Regional Commission, hasAbbreviation, ARC]
Generated description
ARC is a U.S. federal–state regional economic development agency focused on improving economic growth and quality of life in the Appalachian region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ARC
Target entity description: ARC is a U.S. federal–state regional economic development agency focused on improving economic growth and quality of life in the Appalachian region.
  • 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. ARK
    ARK is the standard abbreviation used for the Arkansas Travelers Minor League Baseball team.
  • D. ARC2
    ARC2 is a deep learning model architecture designed for efficient and accurate text classification tasks.
  • E. ARCIC
    ARCIC is an international ecumenical body that fosters theological dialogue and seeks closer unity between the Anglican Communion and the Roman Catholic Church.
  • 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_69bd464a2d908190869324ce176779c8 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd92639b3481908845c280d334117f completed March 20, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf48aa12708190add69c5fd51d161d completed March 22, 2026, 1:40 a.m.
NEDg Description generation batch_69bf4a2b6c508190ad13f6d9823ad747 completed March 22, 2026, 1:47 a.m.
NED2 Entity disambiguation (via description) batch_69bf4a87d1fc8190a0e0e75d6f9cd766 completed March 22, 2026, 1:48 a.m.
Created at: March 20, 2026, 2:10 p.m.