Triple

T21122678
Position Surface form Disambiguated ID Type / Status
Subject Avaz E520470 entity
Predicate hasMediaOutlet P33903 FINISHED
Object Dnevni Avaz 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: Dnevni Avaz | Statement: [Avaz, hasMediaOutlet, Dnevni Avaz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dnevni Avaz
Context triple: [Avaz, hasMediaOutlet, Dnevni Avaz]
  • A. Dnevni avaz chosen
    Dnevni avaz is a major Bosnian daily newspaper based in Sarajevo, known as one of the country’s most influential print and online news outlets.
  • B. Nedelnik
    Nedelnik is a seminal Bulgarian religious and educational book by Sofroniy of Vratsa that played a key role in the Bulgarian National Revival.
  • C. The Daily
    The Daily is Statistics Canada’s official online publication that provides timely statistical news, analysis, and key data releases about Canada’s economy, society, and environment.
  • D. Warta
    Warta is a major river in western-central Poland that flows through several important cities before joining the Oder River.
  • E. Warta
    Warta is a small historic town in central Poland, situated in the Sieradz region along the Warta River.
  • 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.