Triple

T6128189
Position Surface form Disambiguated ID Type / Status
Subject Revolutionary Directorate 13 March E136643 entity
Predicate opposedRegimeType P17029 FINISHED
Object military dictatorship 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: military dictatorship | Statement: [Revolutionary Directorate 13 March, opposedRegimeType, military dictatorship]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: opposedRegimeType
Context triple: [Revolutionary Directorate 13 March, opposedRegimeType, military dictatorship]
  • A. opposedFormOfGovernment chosen
    Indicates that one entity holds a stance against, or is in opposition to, the form of government represented by the other entity.
  • B. opposedBy
    Indicates that one entity actively resists, disagrees with, or works against the actions, views, or position of another entity.
  • C. typeOfOpposition
    Indicates a relationship where one entity stands in opposition or contrast to another, such as being a rival, adversary, or countering force.
  • D. opposedOperation
    Indicates that one operation is in conflict with, counters, or works against another operation.
  • E. opposedConversionOf
    Indicates that one entity actively resisted, objected to, or worked against the process of converting or changing another entity.
  • 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_69c008a0a37c81908e5b4f879158afb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05c4b1df081908dc87fa1c45a43bf completed March 22, 2026, 9:16 p.m.
PD Predicate disambiguation batch_69c049fa905c8190b99eda54e9771b0b completed March 22, 2026, 7:58 p.m.
Created at: March 22, 2026, 4:15 p.m.