Triple

T14264524
Position Surface form Disambiguated ID Type / Status
Subject Chilevisión E353609 entity
Predicate network P2637 FINISHED
Object Chilevisión network E71173 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: Chilevisión network | Statement: [Chilevisión, network, Chilevisión network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chilevisión network
Context triple: [Chilevisión, network, Chilevisión network]
  • A. Chilevisión chosen
    Chilevisión is a major Chilean free-to-air television network known for its news, entertainment, and sports programming.
  • B. Televisión Nacional de Chile
    Televisión Nacional de Chile is Chile’s public, state-owned television network and one of the country’s main national broadcasters.
  • C. Telefe
    Telefe is a major Argentine free-to-air television network known for broadcasting popular entertainment programs, telenovelas, and reality shows nationwide.
  • D. Canal 13
    Canal 13 is a major Chilean free-to-air television network known for its news, entertainment, and long-running programming.
  • E. RCN Televisión
    RCN Televisión is a major Colombian television network and media company known for producing and broadcasting popular telenovelas, news programs, and entertainment shows.
  • 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6357a8188190ba518a486521052b completed April 14, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd467d45c88190ac6ac280aa691591 completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:09 a.m.