Triple

T27847030
Position Surface form Disambiguated ID Type / Status
Subject 윤여정 E703851 entity
Predicate 소속국가의 텔레비전산업 P163734 FINISHED
Object 대한민국 방송 산업 LITERAL 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: 대한민국 방송 산업 | Statement: [윤여정, 소속국가의 텔레비전산업, 대한민국 방송 산업]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 소속국가의 텔레비전산업
Context triple: [윤여정, 소속국가의 텔레비전산업, 대한민국 방송 산업]
  • A. televisionWorkCountry
    Indicates the country in which a television-related work (such as a TV show or production) is produced or primarily associated.
  • B. televisionAdaptationCountry
    Indicates the country in which a television adaptation of a work was produced or primarily created.
  • C. countryOfBroadcast
    Indicates the country from which a broadcast is transmitted or officially originates.
  • D. televisionProducedBy
    Indicates that a television program, series, or broadcast is created, financed, or overseen by a particular producer, production company, or organization.
  • E. televisionSeriesCountryOfOrigin
    Indicates the country where a television series was originally produced or first created.
  • F. None of above. chosen

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_69ef840d9e3c819093615ebff4ec22be completed April 27, 2026, 3:43 p.m.
NER Named-entity recognition batch_69f63c045bd081908e0cb2a119202e8f completed May 2, 2026, 6:01 p.m.
PD Predicate disambiguation batch_69f6370ea79c81909b761821ee0fa698 completed May 2, 2026, 5:40 p.m.
PDg Predicate description generation batch_69f63b3039808190b00bbd19161487f3 completed May 2, 2026, 5:58 p.m.
Created at: April 27, 2026, 6:08 p.m.