Triple

T5028712
Position Surface form Disambiguated ID Type / Status
Subject Radio Azadi E113240 entity
Predicate programmingGoal P6636 FINISHED
Object counter disinformation in Afghanistan LITERAL 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: counter disinformation in Afghanistan | Statement: [Radio Azadi, programmingGoal, counter disinformation in Afghanistan]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: programmingGoal
Context triple: [Radio Azadi, programmingGoal, counter disinformation in Afghanistan]
  • A. engineeringGoal
    Indicates that an entity has a specific engineering-related objective, target, or desired outcome it is intended to achieve or support.
  • B. goals chosen
    Indicates that an entity has objectives, targets, or desired outcomes it aims to achieve.
  • C. goalStructure
    Indicates the overarching objective or intended outcome that organizes and guides the structure of related actions, components, or relationships.
  • D. legacyGoal
    Indicates that an entity has a long-term, enduring objective or impact it aims to leave behind beyond its immediate actions or existence.
  • E. narrativeGoal
    Indicates that one entity has a desired outcome or objective within a story or narrative context that drives their actions or development.
  • F. None of above.

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_69bd443775e48190a646ffbfc4334723 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd738f2cc88190a03eebf19e407411 completed March 20, 2026, 4:19 p.m.
PD Predicate disambiguation batch_69bd71509e9c8190a60c1d8d04936a12 completed March 20, 2026, 4:09 p.m.
Created at: March 20, 2026, 1:36 p.m.