Triple

T2121988
Position Surface form Disambiguated ID Type / Status
Subject Pashto media E43944 entity
Predicate hasNotableRadioNetwork P14095 FINISHED
Object VOA Deewa 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 | Statement: [Pashto media, hasNotableRadioNetwork, VOA Deewa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VOA Deewa
Context triple: [Pashto media, hasNotableRadioNetwork, VOA Deewa]
  • 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. 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.
  • D. VOG
    VOG is the IATA airport code for Volgograd International Airport, a regional air transport hub serving the city of Volgograd in Russia.
  • E. Radio Farda
    Radio Farda is a U.S.-funded Persian-language news radio service that broadcasts independent news and information to audiences in Iran.
  • 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.