Triple

T23211317
Position Surface form Disambiguated ID Type / Status
Subject State Emblem of the Byelorussian Soviet Socialist Republic E580600 entity
Predicate countryTypeContext P5544 FINISHED
Object union republic of the USSR 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: union republic of the USSR | Statement: [State Emblem of the Byelorussian Soviet Socialist Republic, countryTypeContext, union republic of the USSR]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: countryTypeContext
Context triple: [State Emblem of the Byelorussian Soviet Socialist Republic, countryTypeContext, union republic of the USSR]
  • A. countryType chosen
    Indicates the classification or category of a country based on a specified typology (e.g., political, economic, or geographic type).
  • B. countryExample
    Indicates that one country serves as a representative or illustrative example of another country in a given context.
  • C. country2
    Indicates a secondary or alternative country associated with an entity, such as a second nationality, location, or jurisdiction.
  • D. countryResponse
    Indicates that a country issues, provides, or expresses a reply, reaction, or stance in response to a particular event, request, or situation.
  • E. countrySubject
    Indicates that the subject entity is a country that is the main actor, topic, or focus in the described relation or statement.
  • 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_69e24602ae1481908aaa6bc7ca493867 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f191614bc4819080938752d843dcc6 completed April 29, 2026, 5:04 a.m.
PD Predicate disambiguation batch_69effcccee508190a7ae311fdd319806 completed April 28, 2026, 12:18 a.m.
Created at: April 17, 2026, 4:07 p.m.