Triple

T7263367
Position Surface form Disambiguated ID Type / Status
Subject 2009 MLS Cup E159709 entity
Predicate broadcastNetwork P833 FINISHED
Object Galavisión E547792 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: Galavisión | Statement: [2009 MLS Cup, broadcastNetwork, Galavisión]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Galavisión
Context triple: [2009 MLS Cup, broadcastNetwork, Galavisión]
  • A. Canal 13
    Canal 13 is a major Chilean free-to-air television network known for its news, entertainment, and long-running programming.
  • B. Galavisión (U.S. TV channel) chosen
    Galavisión is a U.S. Spanish-language cable television network offering a mix of entertainment, comedy, and imported programming aimed primarily at Hispanic audiences.
  • C. Granada Television
    Granada Television was a major British television production and broadcasting company, best known for creating influential programs such as Coronation Street and for serving the ITV network in the north of England.
  • D. Chilevisión
    Chilevisión is a major Chilean free-to-air television network known for its news, entertainment, and sports programming.
  • E. TV Azteca
    TV Azteca is one of Mexico’s largest television networks, known for producing and broadcasting telenovelas, news, and entertainment 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_69c68838f9948190875fd60b2351230c completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eac9fab88190881ab9e1cd94cdc1 completed March 27, 2026, 8:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d3c7754481908ff7cc0fc6419599 completed March 28, 2026, 1:12 p.m.
Created at: March 27, 2026, 2:57 p.m.