Triple

T9805219
Position Surface form Disambiguated ID Type / Status
Subject Telewizja Polska E237937 entity
Predicate hasChannel P8080 FINISHED
Object TVP Kultura E331132 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: TVP Kultura | Statement: [Telewizja Polska, hasChannel, TVP Kultura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TVP Kultura
Context triple: [Telewizja Polska, hasChannel, TVP Kultura]
  • A. TVP chosen
    TVP is Poland’s national public television broadcaster, operating multiple channels and services across the country.
  • B. Polish national television
    Polish national television is the state-owned public broadcasting service of Poland, providing nationwide television programming, news, and cultural content.
  • C. Polish Film Institute
    The Polish Film Institute is a national cultural institution in Poland responsible for supporting, funding, and promoting Polish cinema and film culture domestically and abroad.
  • D. Wasafi TV
    Wasafi TV is a Tanzanian entertainment television channel closely associated with musician and entrepreneur Diamond Platnumz, known for music, lifestyle, and pop culture programming.
  • E. HRTV
    HRTV is a television network dedicated to horse racing coverage, analysis, and related equestrian programming.
  • 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_69ca84dd4608819097ff4ed00feca280 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdab7b67748190ba16ce868f29d13e completed April 1, 2026, 11:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c45878e481908aa2098eceb44256 completed April 5, 2026, 2:09 a.m.
Created at: March 30, 2026, 8:29 p.m.