Triple

T21122679
Position Surface form Disambiguated ID Type / Status
Subject Avaz E520470 entity
Predicate hasMediaOutlet P33903 FINISHED
Object Avaz online portal 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: Avaz online portal | Statement: [Avaz, hasMediaOutlet, Avaz online portal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avaz online portal
Context triple: [Avaz, hasMediaOutlet, Avaz online portal]
  • A. Avaz (media company) chosen
    Avaz is a Bosnian media company best known for publishing the popular daily newspaper Dnevni Avaz and operating associated print and digital media outlets.
  • B. Vocalo Radio
    Vocalo Radio is a Chicago-based public radio station and digital platform focused on music discovery, culture, and stories from diverse and underrepresented communities.
  • C. Ozeki
    Ozeki is a Japanese surname borne by various individuals, including the acclaimed novelist and filmmaker Ruth Ozeki.
  • D. Voican
    Voican is the family name of Romanian politician and former vice prime minister Gelu Voican Voiculescu.
  • E. Xumo
    Xumo is a free, ad-supported streaming television service offering a variety of live and on-demand channels and content.
  • 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_69e0b50a623881909c0bbaf4f2c055e7 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7223587008190a2b35ea06cf6508b completed April 21, 2026, 7:07 a.m.
Created at: April 16, 2026, 2:55 p.m.