Triple

T2497019
Position Surface form Disambiguated ID Type / Status
Subject Battle of Poltava E52173 entity
Predicate SwedishCasualties P39830 FINISHED
Object thousands killed, wounded, or captured 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: thousands killed, wounded, or captured | Statement: [Battle of Poltava, SwedishCasualties, thousands killed, wounded, or captured]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: SwedishCasualties
Context triple: [Battle of Poltava, SwedishCasualties, thousands killed, wounded, or captured]
  • A. FinnishCasualties
    Indicates that the relationship specifies the number or details of casualties suffered by Finnish forces in a particular conflict or event.
  • B. dutchCasualties
    Indicates that the relationship specifies the number or occurrence of casualties suffered by Dutch entities in a given event or context.
  • C. militaryCasualtiesEstimate
    Indicates an estimated number of people killed, wounded, or missing as a result of military conflict or operations.
  • D. PolishCasualties
    Indicates the number or extent of casualties suffered by Polish forces or population in a given conflict or event.
  • E. AustrianCasualtiesApprox
    Indicates an approximate number or estimate of casualties suffered by Austrian forces or entities.
  • F. None of above. chosen

Provenance (4 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_69ab4955111c8190835bf619adec21ff completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1ad2f8c81908853e97d75081e84 completed March 7, 2026, 7:20 a.m.
PD Predicate disambiguation batch_69abd0b980b481908d4932bcea4a6167 completed March 7, 2026, 7:16 a.m.
PDg Predicate description generation batch_69abd1318f7881908a8fc42943df4879 completed March 7, 2026, 7:18 a.m.
Created at: March 6, 2026, 9:46 p.m.