Triple

T1275489
Position Surface form Disambiguated ID Type / Status
Subject 2018 Egyptian presidential election E27202 entity
Predicate turnoutIncentives P7916 FINISHED
Object reports of incentives and pressure to vote 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: reports of incentives and pressure to vote | Statement: [2018 Egyptian presidential election, turnoutIncentives, reports of incentives and pressure to vote]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: turnoutIncentives
Context triple: [2018 Egyptian presidential election, turnoutIncentives, reports of incentives and pressure to vote]
  • A. typeOfIncentive chosen
    Indicates the specific kind or category of incentive associated with an entity or action.
  • B. voterTurnoutChange
    Indicates the amount or direction of change in voter turnout between two elections or time periods.
  • C. voterTurnoutPercentage
    Indicates the proportion of eligible or registered voters who actually cast a ballot in a given election, expressed as a percentage.
  • D. electoralActivity
    Indicates involvement in activities related to organizing, participating in, or influencing an election or electoral process.
  • E. canElect
    Indicates that one entity has the authority or ability to choose another entity for a position, role, or office through an election process.
  • 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_69a496d3710c8190955dee8bc0dacb50 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c31602b8819087a57e8d390cae7a completed March 1, 2026, 10:52 p.m.
PD Predicate disambiguation batch_69a4bee0be808190a8ccac6a41851fdd completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:50 p.m.