Triple

T879602
Position Surface form Disambiguated ID Type / Status
Subject Tatya Tope E18995 entity
Predicate usedMilitaryStrategy P11476 FINISHED
Object guerrilla warfare 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: guerrilla warfare | Statement: [Tatya Tope, usedMilitaryStrategy, guerrilla warfare]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedMilitaryStrategy
Context triple: [Tatya Tope, usedMilitaryStrategy, guerrilla warfare]
  • A. militaryStrategy
    Indicates a relationship where an entity plans, directs, or is associated with the organized use of armed forces and tactics to achieve military or defense objectives.
  • B. militaryDoctrine chosen
    Indicates that one entity embodies, follows, or defines the strategic military principles, tactics, and operational guidelines used by another entity.
  • C. militaryContext
    Indicates that the relationship or action occurs within a military setting, framework, or operational environment.
  • D. usedMilitaryFormation
    Indicates that an entity employed a specific military formation or tactical arrangement of forces in a military context.
  • E. militaryImportance
    Indicates the degree to which something is strategically or operationally significant to military objectives or capabilities.
  • 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_69a4938db1f081909bcd1ad2713b6096 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4acc9d5f4819087afbb75b6ac3dbf completed March 1, 2026, 9:16 p.m.
PD Predicate disambiguation batch_69a4aa8d47c081909b02a53e305ccf7a completed March 1, 2026, 9:07 p.m.
Created at: March 1, 2026, 7:39 p.m.