Triple

T7838740
Position Surface form Disambiguated ID Type / Status
Subject 2009 Afghan presidential election E181749 entity
Predicate reasonForLowTurnout P34489 FINISHED
Object security concerns 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: security concerns | Statement: [2009 Afghan presidential election, reasonForLowTurnout, security concerns]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reasonForLowTurnout
Context triple: [2009 Afghan presidential election, reasonForLowTurnout, security concerns]
  • A. voterTurnoutDescription
    Indicates a textual explanation or characterization of the level, nature, or patterns of voter turnout in an election or voting event.
  • B. reasonForLossOfVote
    Indicates the specific cause or circumstance that led to an entity losing its right or ability to vote.
  • C. voterTurnoutPercentage
    Indicates the proportion of eligible or registered voters who actually cast a ballot in a given election, expressed as a percentage.
  • D. byElectionReason
    Indicates the reason or cause for which a by-election is being held.
  • E. reasonForNonParticipation chosen
    Indicates the explanation or cause for why an entity did not take part in a specified activity or event.
  • 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_69ca8284a25c8190a1a20afad30da792 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb14c336f08190a21a3fcaa7269457 completed March 31, 2026, 12:26 a.m.
PD Predicate disambiguation batch_69cae91e98988190abd4ece75932c589 completed March 30, 2026, 9:20 p.m.
Created at: March 30, 2026, 4:47 p.m.