Triple

T10929640
Position Surface form Disambiguated ID Type / Status
Subject Wail al-Shehri E258165 entity
Predicate receivedTrainingIn P96696 FINISHED
Object Afghanistan E9744 NE FINISHED

How this triple was built (3 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: Afghanistan | Statement: [Wail al-Shehri, receivedTrainingIn, Afghanistan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Afghanistan
Context triple: [Wail al-Shehri, receivedTrainingIn, Afghanistan]
  • A. Afghanistan chosen
    Afghanistan is a landlocked, mountainous country in South-Central Asia known for its strategic location at the crossroads of empires and its long history of conflict and cultural diversity.
  • B. Democratic Republic of Afghanistan
    The Democratic Republic of Afghanistan was a Soviet-aligned communist state that ruled Afghanistan from 1978 to 1992, marked by internal conflict, radical reforms, and its central role in the Soviet–Afghan War.
  • C. Afghanistan and Pakistan
    Afghanistan and Pakistan are neighboring countries in South and Central Asia that share a long, strategically important and often volatile border region.
  • D. Pashtunistan
    Pashtunistan is a historical and cultural region inhabited predominantly by Pashtun people, spanning areas across modern-day Afghanistan and Pakistan.
  • E. AFG
    AFG is the stock ticker symbol for American Financial Group, a U.S.-based insurance and financial services holding company.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: receivedTrainingIn
Context triple: [Wail al-Shehri, receivedTrainingIn, Afghanistan]
  • A. hasTrainingFor
    Indicates that an entity has received or possesses training that prepares it for performing a specific task, role, or function.
  • B. hasTrained
    Indicates that one entity has provided training or instruction to another entity.
  • C. hasTrainingRole
    Indicates that an entity holds or is assigned a specific role within a training or instructional context.
  • D. trainedAs
    Indicates that one entity has received education or instruction to perform the role, profession, or function represented by another entity.
  • E. providesTrainingFor
    Indicates that one entity delivers or conducts training activities intended to develop the skills or knowledge of another entity.
  • F. None of above. chosen

Provenance (5 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7709eb0ec819093f7d3f99097bbe4 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2175711d4819088f93bdf64ba4d3f completed April 17, 2026, 11:19 a.m.
PD Predicate disambiguation batch_69d72e799f808190b6ab64fc7586a303 completed April 9, 2026, 4:43 a.m.
PDg Predicate description generation batch_69d7322370648190ba14cdd6fb4cdcb0 completed April 9, 2026, 4:59 a.m.
Created at: April 8, 2026, 9:22 p.m.