Triple

T16981567
Position Surface form Disambiguated ID Type / Status
Subject FleetNet America E411957 entity
Predicate parentOrganization P254 FINISHED
Object Cox Enterprises E14655 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: Cox Enterprises | Statement: [FleetNet America, parentOrganization, Cox Enterprises]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cox Enterprises
Context triple: [FleetNet America, parentOrganization, Cox Enterprises]
  • A. Cox Enterprises chosen
    Cox Enterprises is a major U.S. privately held media, communications, and automotive services conglomerate.
  • B. Lee Enterprises
    Lee Enterprises is a major American media company that owns and operates numerous newspapers and digital publications across the United States.
  • C. Fuqua Enterprises
    Fuqua Enterprises was a diversified holding company founded and led by American businessman and philanthropist J. B. Fuqua, active in industries such as broadcasting, manufacturing, and insurance.
  • D. McLane Company
    McLane Company is a major American supply chain services and wholesale distribution company serving retailers, restaurants, and convenience stores across the United States.
  • E. Cooper Companies
    Cooper Companies is a global medical device and vision care company best known for manufacturing contact lenses and related eye care products.
  • 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d18830ac8190a20c89a87379ae94 completed April 18, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d479610c8190a6281e6d4959b820 completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:32 a.m.