Triple

T23371970
Position Surface form Disambiguated ID Type / Status
Subject Матуа E593498 entity
Predicate историческоеИспользование P2417 FINISHED
Object японская военная база во время Второй мировой войны 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: японская военная база во время Второй мировой войны | Statement: [Матуа, историческоеИспользование, японская военная база во время Второй мировой войны]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: историческоеИспользование
Context triple: [Матуа, историческоеИспользование, японская военная база во время Второй мировой войны]
  • A. historicUsePersistsIn
    Indicates that a practice, feature, or condition originating in the past continues to exist or be applied in the present.
  • B. historicallyUsedFor chosen
    Indicates that something served a particular function or purpose at some point in the past, even if it may no longer be used that way now.
  • C. historicalPeriodOfUse
    Indicates the time period during which something was in active use or commonly utilized.
  • D. historicalUseInCountry
    Indicates that something has been used or practiced within a specific country during a past historical period.
  • E. historicFor
    Indicates that something holds historical significance or importance specifically in relation to another entity.
  • 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_69e25d2593c88190bcdf4a716a94ccb2 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a3af45ec8190a32aa4e5f04f6756 completed April 29, 2026, 6:22 a.m.
PD Predicate disambiguation batch_69f061c7aaa48190a58ce93f87155ffc completed April 28, 2026, 7:29 a.m.
Created at: April 17, 2026, 5:32 p.m.