Triple

T11979875
Position Surface form Disambiguated ID Type / Status
Subject TelevisaUnivision E285129 entity
Predicate owns P347 FINISHED
Object UniMás E53795 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: UniMás | Statement: [TelevisaUnivision, owns, UniMás]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UniMás
Context triple: [TelevisaUnivision, owns, UniMás]
  • A. UniMás chosen
    UniMás is a U.S. Spanish-language broadcast television network owned by TelevisaUnivision that features sports, telenovelas, and entertainment programming.
  • B. UMSS
    UMSS is a major public university in Cochabamba, Bolivia, known formally as Universidad Mayor de San Simón.
  • C. Universidad Central del Este
    Universidad Central del Este is a private Dominican university known for offering a wide range of undergraduate and graduate programs, particularly in health sciences, law, and engineering.
  • D. Universidad Autónoma Gabriel René Moreno
    Universidad Autónoma Gabriel René Moreno is a major public university in Santa Cruz de la Sierra, Bolivia, known for its broad range of academic programs and regional influence in higher education and research.
  • E. UNITEC
    UNITEC is a private Honduran university known for its technology-focused academic programs and modern, industry-oriented education.
  • 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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90393cfb08190b5b45d3e5e32fad3 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f47209bd088190bf4c7687c0a5eed6 completed May 1, 2026, 9:27 a.m.
Created at: April 8, 2026, 9:46 p.m.