Triple

T22678632
Position Surface form Disambiguated ID Type / Status
Subject Arena Racing Company E560417 entity
Predicate alsoKnownAs P39 FINISHED
Object ARC
ARC is a major British racecourse and greyhound track operator that manages numerous venues and racing events across the UK.
 E1549044 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: [Arena Racing Company, alsoKnownAs, ARC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ARC
Context triple: [Arena Racing Company, alsoKnownAs, ARC]
  • A. 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.
  • B. 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.
  • C. ARC
    ARC is a family of configurable 32-bit RISC processor architectures commonly used in embedded and SoC designs.
  • D. 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.
  • 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: [Arena Racing Company, alsoKnownAs, ARC]
Generated description
ARC is a major British racecourse and greyhound track operator that manages numerous venues and racing events across the UK.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ARC
Target entity description: ARC is a major British racecourse and greyhound track operator that manages numerous venues and racing events across the UK.
  • A. ARC
    ARC is the Atlanta Regional Commission, a regional planning and intergovernmental coordination agency serving the metropolitan Atlanta area.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. ARC
    ARC is a family of configurable 32-bit RISC processor architectures commonly used in embedded and SoC designs.
  • 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_69e2454bfd00819099115715a22cb057 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1785e4e7481909f1ebd6d8dbd6585 completed April 29, 2026, 3:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b73f115cc819085e82dfa9f32ffa8 completed May 18, 2026, 8:17 p.m.
NEDg Description generation batch_6a0b752363a48190af3733c8ca995c25 completed May 18, 2026, 8:22 p.m.
NED2 Entity disambiguation (via description) batch_6a0b7601fda88190bbfa04e7eb240f65 completed May 18, 2026, 8:26 p.m.
Created at: April 17, 2026, 3:11 p.m.