Triple

T25881973
Position Surface form Disambiguated ID Type / Status
Subject National Liberation Party E652072 entity
Predicate hasWonPresidentialElectionsIn P17852 FINISHED
Object Costa Rica 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: Costa Rica | Statement: [National Liberation Party, hasWonPresidentialElectionsIn, Costa Rica]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasWonPresidentialElectionsIn
Context triple: [National Liberation Party, hasWonPresidentialElectionsIn, Costa Rica]
  • A. wonPresidentialElection chosen
    Indicates that one entity achieved victory over others in a presidential election.
  • B. wonPresidencyWith
    Indicates that one entity attained the presidency by means of, or through the support, strategy, or circumstances provided by, another entity.
  • C. hadMajorPresidency
    Indicates that the subject held a primary or significant presidential office over the object entity (such as a country, organization, or institution).
  • D. hasPresident
    Indicates that an entity holds the position or role of president for another entity.
  • E. hasWonTitleAsPresident
    Indicates that an individual has won a specific title or championship while serving in the role of president.
  • 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_69e7ab3b92cc81908febd90317862647 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f6c49627908190b3553474c7c3072b completed May 3, 2026, 3:44 a.m.
PD Predicate disambiguation batch_69f6c3f23ae081909a52801266063a3c completed May 3, 2026, 3:41 a.m.
Created at: April 22, 2026, 8:16 a.m.