Triple

T3380317
Position Surface form Disambiguated ID Type / Status
Subject 2017 Chilean presidential election E71165 entity
Predicate voterTurnoutFirstRoundPercentage P1234 FINISHED
Object 46.7 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: 46.7 | Statement: [2017 Chilean presidential election, voterTurnoutFirstRoundPercentage, 46.7]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: voterTurnoutFirstRoundPercentage
Context triple: [2017 Chilean presidential election, voterTurnoutFirstRoundPercentage, 46.7]
  • A. voterTurnoutPercentage chosen
    Indicates the proportion of eligible or registered voters who actually cast a ballot in a given election, expressed as a percentage.
  • B. voterTurnoutChange
    Indicates the amount or direction of change in voter turnout between two elections or time periods.
  • C. firstFederalElection
    Indicates the relationship in which an entity participates in or is associated with the first federal election of a given political system or jurisdiction.
  • D. referendumResultRemainPercentage
    Indicates the percentage of votes in a referendum that were cast in favor of remaining (as opposed to leaving or changing the status quo).
  • E. electoralThreshold
    Indicates the minimum share of votes a party or candidate must receive to gain representation or seats in an election.
  • 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_69ad85a7f80c8190a05e43013f298942 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb5e7c7f48190afb78c311b424c93 completed March 8, 2026, 5:46 p.m.
PD Predicate disambiguation batch_69ada434bae48190a77ea37f9274ad8f completed March 8, 2026, 4:30 p.m.
Created at: March 8, 2026, 3:14 p.m.