Triple

T1974864
Position Surface form Disambiguated ID Type / Status
Subject Peasant Battalions E42885 entity
Predicate ideologicalOpponent P22586 FINISHED
Object German occupation authorities 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: German occupation authorities | Statement: [Peasant Battalions, ideologicalOpponent, German occupation authorities]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ideologicalOpponent
Context triple: [Peasant Battalions, ideologicalOpponent, German occupation authorities]
  • A. opposingIdeology
    Indicates that two entities hold conflicting or mutually incompatible belief systems, doctrines, or ideological positions.
  • B. opposedLeader
    Indicates that one entity actively resisted, challenged, or worked against the leadership or authority of another entity.
  • C. ideologicalCharacter
    Indicates a relationship where one entity embodies, expresses, or is defined by a particular ideology or set of ideological traits.
  • D. mainIdeologue
    Indicates that one entity serves as the primary theorist or chief ideological architect behind another entity’s beliefs, policies, or movement.
  • E. hasIdeologicalConflict chosen
    Indicates a relationship where two entities hold opposing or incompatible ideologies that put them in conflict with each other.
  • 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_69a8871289048190b00b0d7744b7b2b1 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3f6c4208190a41e02733faed8df completed March 7, 2026, 5:13 a.m.
PD Predicate disambiguation batch_69abaff9a09c8190a81fa13f4b85bc79 completed March 7, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:36 p.m.