Triple

T18008441
Position Surface form Disambiguated ID Type / Status
Subject Terra Networks E430813 entity
Predicate hasSubsidiary P254 FINISHED
Object Terra Networks México NE NERFINISHED

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: Terra Networks México | Statement: [Terra Networks, hasSubsidiary, Terra Networks México]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terra Networks México
Context triple: [Terra Networks, hasSubsidiary, Terra Networks México]
  • A. Terra Networks chosen
    Terra Networks is a Spanish internet company best known for its early-2000s expansion in the online services market, including the high-profile acquisition of the web portal Lycos.
  • B. Cintermex
    Cintermex is a major convention and exhibition center located in Monterrey, Mexico, known for hosting trade shows, conferences, and large-scale events.
  • C. Telmex
    Telmex is a major Mexican telecommunications company that provides telephone, internet, and related services across Mexico and parts of Latin America.
  • D. Atenco
    Atenco is a municipality in the State of Mexico known for its rural communities and prominent social movements, particularly those opposing large-scale infrastructure projects.
  • E. Telesistema Mexicano
    Telesistema Mexicano was a pioneering Mexican television network that became the foundation for what is now Televisa, one of the largest media companies in the Spanish-speaking world.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b51d44088190bfcd35e532a4c02a completed April 19, 2026, 10:57 a.m.
Created at: April 10, 2026, 10:24 a.m.