Triple

T14897789
Position Surface form Disambiguated ID Type / Status
Subject Volkovysk E359922 entity
Predicate hasHistoricalPopulationGroup P67966 FINISHED
Object Jews 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: Jews | Statement: [Volkovysk, hasHistoricalPopulationGroup, Jews]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHistoricalPopulationGroup
Context triple: [Volkovysk, hasHistoricalPopulationGroup, Jews]
  • A. hasPopulationGrouping
    Indicates a relationship where an entity is associated with a specific categorization or grouping of its population (e.g., by size, type, or demographic characteristics).
  • B. historicalPopulationCharacteristic chosen
    Indicates a relationship where an entity is associated with a demographic or population-related attribute that held true during a specific historical period.
  • C. historicallyGroupedWith
    Indicates that two or more entities have been associated or classified together in the past based on historical context, usage, or tradition, even if they are no longer grouped that way.
  • D. hasHistoricalEntity
    Indicates a relationship where one entity includes, references, or is associated with another entity that existed or is defined in a past historical context.
  • E. historicalProvinceGroup
    Indicates that two or more provinces are grouped together based on sharing a common historical administrative or territorial affiliation.
  • 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded6084574819098033a9723f3e1c4 completed April 15, 2026, 12:04 a.m.
PD Predicate disambiguation batch_69de9a4a14a88190951bb8f4c60bd37b completed April 14, 2026, 7:49 p.m.
Created at: April 10, 2026, 2:11 a.m.