Triple

T24422650
Position Surface form Disambiguated ID Type / Status
Subject History of Uruguay E615764 entity
Predicate experiencedMilitaryDictatorship P155868 FINISHED
Object History of Uruguay 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: History of Uruguay | Statement: [History of Uruguay, experiencedMilitaryDictatorship, History of Uruguay]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: experiencedMilitaryDictatorship
Context triple: [History of Uruguay, experiencedMilitaryDictatorship, History of Uruguay]
  • A. timeSincePreviousDictatorship
    Indicates the amount of time that has elapsed since the end of the most recent prior dictatorship.
  • B. historicalRegime
    Indicates that one entity functioned as a governing regime or ruling authority over another entity during a specific historical period.
  • C. leaderDuringAuthoritarianPeriod
    Indicates that an entity served as the ruling leader of another entity during a time characterized as an authoritarian period.
  • D. implementedOnePartyDictatorship
    Indicates that an entity established and put into effect a political system in which a single party holds exclusive governing power, suppressing opposition and alternative parties.
  • E. dictatorshipStartYear
    Indicates the year in which a dictatorship regime began.
  • F. None of above. chosen

Provenance (4 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_69e2d7eadb248190a867130fe45f0388 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f296a4285881909376560f1cf4bf62 completed April 29, 2026, 11:39 p.m.
PD Predicate disambiguation batch_69f287cc4fd4819081e93cc638d9512d completed April 29, 2026, 10:35 p.m.
PDg Predicate description generation batch_69f2915233c48190a181c8c1924e892c completed April 29, 2026, 11:16 p.m.
Created at: April 18, 2026, 2:14 a.m.