Triple

T2121993
Position Surface form Disambiguated ID Type / Status
Subject Pashto media E43944 entity
Predicate hasNotableDigitalOutlet P33903 FINISHED
Object VOA Deewa website E20090 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: VOA Deewa website | Statement: [Pashto media, hasNotableDigitalOutlet, VOA Deewa website]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VOA Deewa website
Context triple: [Pashto media, hasNotableDigitalOutlet, VOA Deewa website]
  • A. VOAT
    VOAT is the ICAO airport code for Agatti Airport, which serves the island of Agatti in India’s Lakshadweep archipelago.
  • B. VOI
    VOI is the ICAO airline designator used to identify Volaris, a Mexican low-cost carrier, in aviation operations and communications.
  • C. Vox
    Vox is a Spanish right-wing to far-right political party known for its nationalist, socially conservative, and anti-separatist positions.
  • D. Voice of America chosen
    Voice of America is a U.S. government-funded international broadcaster that provides news and information in multiple languages to audiences around the world.
  • E. VOA Africa
    VOA Africa is the Africa-focused service of the U.S. government–funded international broadcaster Voice of America, providing news and information to audiences across the African continent.
  • 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_69a88717cfe48190b7ecdd68c824848a completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbdc3a12081908e95ae870207367f completed March 7, 2026, 5:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae51999ca08190a726040df6825ba5 completed March 9, 2026, 4:50 a.m.
Created at: March 4, 2026, 7:44 p.m.