Triple

T19936828
Position Surface form Disambiguated ID Type / Status
Subject Luhansk People’s Republic E479194 entity
Predicate governmentTypeClaimed P220 FINISHED
Object republic 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: republic | Statement: [Luhansk People’s Republic, governmentTypeClaimed, republic]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: governmentTypeClaimed
Context triple: [Luhansk People’s Republic, governmentTypeClaimed, republic]
  • A. governmentTypeAttempted
    Indicates that an entity has tried or aimed to establish, implement, or transition to a particular form of government.
  • B. governmentType chosen
    Indicates the form or system of governance under which an entity (such as a country or organization) is organized and ruled.
  • C. governmentTypeStrengthened
    Indicates that the form or structure of a government has been reinforced, consolidated, or made more powerful or stable relative to its previous state.
  • D. governmentTypeSupported
    Indicates that an entity endorses, backs, or is in favor of a particular form or system of government.
  • E. governmentTypeReflected
    Indicates that the government type of one entity is represented, mirrored, or exemplified by 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_69d8e522a17c819095165d4d24939fd8 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a17fb2c8190b3aaae88e741648a completed April 20, 2026, 4:53 p.m.
PD Predicate disambiguation batch_69e537f47c508190853c4e009c6b5566 completed April 19, 2026, 8:15 p.m.
Created at: April 10, 2026, 1:53 p.m.