Triple

T19848041
Position Surface form Disambiguated ID Type / Status
Subject Ulster Television E476922 entity
Predicate hasService P182 FINISHED
Object UTV Weather NE NERFINISHED

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: UTV Weather | Statement: [Ulster Television, hasService, UTV Weather]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UTV Weather
Context triple: [Ulster Television, hasService, UTV Weather]
  • A. UTV Live
    UTV Live is a regional television news programme broadcast in Northern Ireland on UTV.
  • B. UTV chosen
    UTV is a Northern Irish television broadcaster and media company best known for operating the UTV television channel, formerly Ulster Television.
  • C. UTAV
    UTAV is the ICAO airport code for Turkmenabat International Airport in Turkmenistan.
  • D. URV
    URV is the commonly used abbreviation for Rovira i Virgili University, a public university based in Tarragona, Catalonia, Spain.
  • E. UVT Aero
    UVT Aero is a Russian regional airline based in Tatarstan that operates domestic and some international routes, primarily serving cities in the Volga and Ural regions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51d39d081909bcfafeaaf3d2fcc completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6580ba4948190a3260f23d011cc36 completed April 20, 2026, 4:44 p.m.
Created at: April 10, 2026, 1:51 p.m.