Triple

T19425289
Position Surface form Disambiguated ID Type / Status
Subject Soviet mass organizations system E485964 entity
Predicate includedOrganizationType P23265 FINISHED
Object youth organizations 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: youth organizations | Statement: [Soviet mass organizations system, includedOrganizationType, youth organizations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: includedOrganizationType
Context triple: [Soviet mass organizations system, includedOrganizationType, youth organizations]
  • A. containsOrganizationType chosen
    Indicates that an entity includes or is associated with an organization of a specified organizational type (e.g., company, nonprofit, government agency).
  • B. includesOrganization
    Indicates that one entity contains, encompasses, or has within it the specified organization as a component, member, or part.
  • C. organizationType
    Indicates the specific category or classification of an organization in terms of its nature, structure, or primary function.
  • D. usedByOrganizationType
    Indicates that something is utilized or employed by organizations of a specified type.
  • E. parentOrganizationType
    Indicates the classification or category of the organization that serves as the parent in a hierarchical relationship.
  • 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63218772c8190a48b6cb01bd12b73 completed April 20, 2026, 2:03 p.m.
PD Predicate disambiguation batch_69e4fd68b1f881908d273de1fee81a75 completed April 19, 2026, 4:06 p.m.
Created at: April 10, 2026, 1:37 p.m.