Triple

T18008440
Position Surface form Disambiguated ID Type / Status
Subject Terra Networks E430813 entity
Predicate hasSubsidiary P254 FINISHED
Object Terra Networks Brasil 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 Brasil | Statement: [Terra Networks, hasSubsidiary, Terra Networks Brasil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terra Networks Brasil
Context triple: [Terra Networks, hasSubsidiary, Terra Networks Brasil]
  • 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. Magalhães Network
    Magalhães Network is an academic consortium that promotes cooperation, mobility, and exchange programs among universities in Ibero-America and Europe, particularly in engineering and related fields.
  • C. United Telecommunications
    United Telecommunications was a major American telecommunications company that evolved through mergers and rebranding into what became Sprint Corporation.
  • D. Teletrece
    Teletrece is a long-running Chilean television news program that serves as the main newscast of Canal 13.
  • E. Indra Sistemas
    Indra Sistemas is a Spanish multinational technology and defense company specializing in information technology, simulation, and advanced electronic systems for civil and military applications.
  • 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.