Triple

T23690127
Position Surface form Disambiguated ID Type / Status
Subject 1979 Spanish general election E585273 entity
Predicate wasFreeAndFair P40674 FINISHED
Object yes 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: yes | Statement: [1979 Spanish general election, wasFreeAndFair, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: wasFreeAndFair
Context triple: [1979 Spanish general election, wasFreeAndFair, yes]
  • A. electoralFreedom chosen
    Indicates the extent to which individuals and groups can participate in elections—such as voting, running for office, and campaigning—without undue restriction, coercion, or manipulation.
  • B. wasCloseElection
    Indicates that an election was decided by a very small margin between candidates or options.
  • C. electoralDignity
    Indicates a relationship where an entity holds or is associated with an official electoral office, rank, or honor within a political or voting system.
  • D. wasEarlyElection
    Indicates that an election was held earlier than its originally scheduled or expected date.
  • E. hadRightToElect
    Indicates that an entity possessed the legal or formal authority to choose or vote for another entity in an election or selection 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_69e249037ce0819088b149608e98f685 completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b5c16af08190b2f4d126c60a7e75 completed April 29, 2026, 7:39 a.m.
PD Predicate disambiguation batch_69f155d5265881908e43a9696b6a6d0f completed April 29, 2026, 12:50 a.m.
Created at: April 17, 2026, 6:52 p.m.