Triple

T25708722
Position Surface form Disambiguated ID Type / Status
Subject Volkspolizei E644669 entity
Predicate hadRankStructureSimilarTo P6057 FINISHED
Object military ranks 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: military ranks | Statement: [Volkspolizei, hadRankStructureSimilarTo, military ranks]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hadRankStructureSimilarTo
Context triple: [Volkspolizei, hadRankStructureSimilarTo, military ranks]
  • A. usesRankStructureSimilarTo chosen
    Indicates that one entity organizes or orders its elements according to a ranking system that is similar to the ranking system used by another entity.
  • B. usesRankStructure
    Indicates that an entity organizes its members or components according to a defined hierarchical rank structure.
  • C. hadRankStructureReformedIn
    Indicates that an entity’s rank structure was reorganized, modified, or reformed during a specified time or in a specified context.
  • D. hasSimilarityTo
    Indicates that one entity shares common characteristics, features, or qualities with another entity to a notable degree.
  • E. hadRankSystem
    Indicates that an entity used or was governed by a particular ranking or rank classification system.
  • 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_69e77e83c8ec8190bf52fcdac4838984 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f5fc1385c4819082eff6432380dd2c completed May 2, 2026, 1:28 p.m.
PD Predicate disambiguation batch_69f480824a1c81908a8a492eedbc2596 completed May 1, 2026, 10:29 a.m.
Created at: April 21, 2026, 9:08 p.m.