Triple

T32880002
Position Surface form Disambiguated ID Type / Status
Subject Treaty of Żurawno E841034 entity
Predicate reducedButDidNotEliminate P148133 FINISHED
Object Polish territorial losses to the Ottoman Empire 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: Polish territorial losses to the Ottoman Empire | Statement: [Treaty of Żurawno, reducedButDidNotEliminate, Polish territorial losses to the Ottoman Empire]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reducedButDidNotEliminate
Context triple: [Treaty of Żurawno, reducedButDidNotEliminate, Polish territorial losses to the Ottoman Empire]
  • A. reduces
    Indicates that one entity causes a decrease in the amount, intensity, degree, or impact of another entity.
  • B. reduction chosen
    Indicates a relationship where something is decreased in amount, size, intensity, or degree compared to a prior state or reference.
  • C. mayNotReduce
    Indicates that one entity is prohibited from decreasing, diminishing, or lowering some quantity, quality, or resource associated with another entity.
  • D. reductionOfScope
    Indicates a relationship where the extent, coverage, or range of something is decreased or limited compared to its previous or potential scope.
  • E. reducedNumberOf
    Indicates that the subject has a smaller quantity or count of the specified object or attribute compared to a prior state or reference level.
  • 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_69f349446e288190a70c05bcc4d81172 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d16f5cb881908eed141afaaa0b51 completed May 3, 2026, 4:39 a.m.
PD Predicate disambiguation batch_69f6cfe45554819089cbbd538d992132 completed May 3, 2026, 4:32 a.m.
Created at: May 1, 2026, 1:18 a.m.