Triple

T13781001
Position Surface form Disambiguated ID Type / Status
Subject ORF E331129 entity
Predicate operatesTelevisionChannel P80504 FINISHED
Object ORF 1 E331129 NE FINISHED

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: ORF 1 | Statement: [ORF, operatesTelevisionChannel, ORF 1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ORF 1
Context triple: [ORF, operatesTelevisionChannel, ORF 1]
  • A. ORF
    ORF is the three-letter IATA airport code for Norfolk International Airport in Norfolk, Virginia.
  • B. ORF chosen
    ORF is Austria's national public service broadcaster, operating multiple television and radio channels as well as online services.
  • C. OR-1
    OR-1 is the commonly used shorthand for Oregon's 1st congressional district, a U.S. House of Representatives district in northwestern Oregon.
  • D. ORU
    ORU is a private Christian liberal arts university in Tulsa, Oklahoma, founded by evangelist Oral Roberts and known for integrating faith-based education with a diverse range of academic programs.
  • E. ORU
    ORU is the IATA airport code for Juan Mendoza Airport, a regional airport serving the city of Oruro in Bolivia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: operatesTelevisionChannel
Context triple: [ORF, operatesTelevisionChannel, ORF 1]
  • A. operatesTelevisionNetworks chosen
    Indicates that an entity manages and runs the broadcasting and business operations of one or more television networks.
  • B. televisionPlatform
    Indicates that one entity serves as the television platform (e.g., service, system, or distribution channel) through which the other entity’s TV content is delivered or accessed.
  • C. hdChannel
    Indicates that a media service or content stream is provided in high-definition (HD) format.
  • D. televisionWork
    Indicates a relationship where a creative work is produced for, broadcast on, or primarily associated with television.
  • E. televisionShow
    Indicates that one entity is a television show associated with, or featured in relation to, another entity.
  • F. None of above.

Provenance (4 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02460a688190a27874f8d35819c7 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b079013881908e9f5412e5dfb0b2 completed May 3, 2026, 8:30 p.m.
PD Predicate disambiguation batch_69dbbe97846c819093b00ea117b64e0d completed April 12, 2026, 3:47 p.m.
Created at: April 9, 2026, 10:11 p.m.