Triple

T22761250
Position Surface form Disambiguated ID Type / Status
Subject Tim Radford E562994 entity
Predicate serviceIn P18496 FINISHED
Object Afghanistan 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: Afghanistan | Statement: [Tim Radford, serviceIn, Afghanistan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Afghanistan
Context triple: [Tim Radford, serviceIn, 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.

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_69e24552e11c81909c2d61578a558bd7 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17a7c45b881908b29ba1439038789 completed April 29, 2026, 3:26 a.m.
Created at: April 17, 2026, 3:26 p.m.