Triple

T9805216
Position Surface form Disambiguated ID Type / Status
Subject Telewizja Polska E237937 entity
Predicate hasChannel P8080 FINISHED
Object TVP1 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: TVP1 | Statement: [Telewizja Polska, hasChannel, TVP1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TVP1
Context triple: [Telewizja Polska, hasChannel, TVP1]
  • A. TVP chosen
    TVP is Poland’s national public television broadcaster, operating multiple channels and services across the country.
  • B. Start TV
    Start TV is an American digital broadcast television network that primarily airs classic, female-led procedural dramas from the 1980s through the early 2000s.
  • C. 9TV
    9TV was a short-lived Philippine free-to-air television network that served as a transitional rebranding of Solar News Channel before it became CNN Philippines.
  • D. TVH
    TVH is an Indian real estate and infrastructure development company known for sponsoring chess legend Viswanathan Anand.
  • E. TVPA
    TVPA is the commonly used abbreviation for the Trafficking Victims Protection Act, a key U.S. federal law aimed at preventing human trafficking, protecting victims, and prosecuting traffickers.
  • 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.