Triple

T37943136
Position Surface form Disambiguated ID Type / Status
Subject Republic of Latvia (1918–1940) E946537 entity
Predicate hadSignificantMinority P186141 FINISHED
Object Jewish community 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: Jewish community | Statement: [Republic of Latvia (1918–1940), hadSignificantMinority, Jewish community]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hadSignificantMinority
Context triple: [Republic of Latvia (1918–1940), hadSignificantMinority, Jewish community]
  • A. hadMinorityPopulation chosen
    Indicates that an entity possessed or contained a population that was in the minority relative to the total population.
  • B. hasMinorityIn
    Indicates that one entity holds a non-controlling, minority ownership or stake in another entity.
  • C. minorityMajority
    Indicates that one group constitutes a numerical or power minority within a context while another group constitutes the corresponding majority.
  • D. minority
    Indicates that one entity belongs to a smaller, less represented, or non-dominant group within a larger population or context.
  • E. hasMinorityIssueContext
    Indicates that something occurs within, relates to, or is characterized by issues affecting a minority group or minority status context.
  • 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_69f76ef531ac8190ae6d99e5786e76ec completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbc7b78f9481909f4f8fc2e3fdcde1 completed May 6, 2026, 10:59 p.m.
PD Predicate disambiguation batch_69fbbd18c9908190928d274f8731dfa8 completed May 6, 2026, 10:13 p.m.
Created at: May 3, 2026, 4:20 p.m.