Triple

T4298202
Position Surface form Disambiguated ID Type / Status
Subject Ural Cossack forces E99767 entity
Predicate mountedWarfare P709 FINISHED
Object yes 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: yes | Statement: [Ural Cossack forces, mountedWarfare, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mountedWarfare
Context triple: [Ural Cossack forces, mountedWarfare, yes]
  • A. usedWarfareType chosen
    Indicates the specific type or method of warfare that an entity employed in a conflict or military context.
  • B. combatArm
    Indicates that one entity serves as a primary fighting or operational warfare branch or component of another entity (such as an organization or military force).
  • C. warfareType
    Indicates the specific kind or category of warfare that characterizes a given conflict or military engagement.
  • D. warfareCapability
    Indicates the ability or capacity of an entity to engage in, conduct, or support acts of warfare.
  • E. associatedWithWar
    Indicates a relationship where an entity is connected or related to war, such as by involvement, influence, cause, or 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_69b3455175088190aa79c6e03b86647e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3509bff808190a86fade7ccfc3611 completed March 12, 2026, 11:47 p.m.
PD Predicate disambiguation batch_69b347fe55a88190b77bab0c0f38e1aa completed March 12, 2026, 11:10 p.m.
Created at: March 12, 2026, 11:08 p.m.