Triple

T30438359
Position Surface form Disambiguated ID Type / Status
Subject Zemshchina E774371 entity
Predicate includedSocialGroups P34598 FINISHED
Object boyars 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: boyars | Statement: [Zemshchina, includedSocialGroups, boyars]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: includedSocialGroups
Context triple: [Zemshchina, includedSocialGroups, boyars]
  • A. hasSocialGroup chosen
    Indicates that an entity belongs to, is associated with, or participates in a particular social group or community.
  • B. socialGroupInvolved
    Indicates that a particular social group participates in, is affected by, or is otherwise involved in the specified event or situation.
  • C. includesCommonGroups
    Indicates that two entities share at least one group or category in common.
  • D. includedMembersOf
    Indicates that certain members or elements are contained within, or form part of, a specified group or collection.
  • E. sociallyIntegratedWith
    Indicates that two entities are connected through meaningful social relationships, interactions, or participation within the same social context or community.
  • 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_69f22492d2a88190995ce8745d9becaa completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_6a007fc9d9688190af411d5841af34be completed May 10, 2026, 12:53 p.m.
PD Predicate disambiguation batch_6a007f64813081909a2950336402073b completed May 10, 2026, 12:51 p.m.
Created at: April 29, 2026, 8:08 p.m.