Triple

T13781011
Position Surface form Disambiguated ID Type / Status
Subject ORF E331129 entity
Predicate operatesOnlineService P110927 FINISHED
Object ORF Sound E331129 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: ORF Sound | Statement: [ORF, operatesOnlineService, ORF Sound]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ORF Sound
Context triple: [ORF, operatesOnlineService, ORF Sound]
  • A. ORF chosen
    ORF is Austria's national public service broadcaster, operating multiple television and radio channels as well as online services.
  • B. ORF
    ORF is the three-letter IATA airport code for Norfolk International Airport in Norfolk, Virginia.
  • C. French-Italian ORFEO system
    The French-Italian ORFEO system is a bilateral Earth observation program designed to provide high-resolution optical and radar satellite imagery for civilian, scientific, and defense applications.
  • 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.

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_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.
Created at: April 9, 2026, 10:11 p.m.