Triple

T288096
Position Surface form Disambiguated ID Type / Status
Subject Order of Leopold E5928 entity
Predicate hasMilitaryInsigniaFeature P7256 FINISHED
Object crossed swords on the badge for military division 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: crossed swords on the badge for military division | Statement: [Order of Leopold, hasMilitaryInsigniaFeature, crossed swords on the badge for military division]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMilitaryInsigniaFeature
Context triple: [Order of Leopold, hasMilitaryInsigniaFeature, crossed swords on the badge for military division]
  • A. hasTypeOfInsignia
    Indicates that an entity bears or is associated with a specific kind or category of insignia.
  • B. militaryCharacteristic chosen
    Indicates that one entity possesses a specific military-related attribute, quality, or feature in relation to another entity or context.
  • C. isNonMilitaryDecoration
    Indicates that an honor or award is a decoration that is not associated with military service or military institutions.
  • D. hasMilitaryDivision
    Indicates that an entity possesses, includes, or is organizationally associated with a specific military division.
  • E. hasMilitaryBranch
    Indicates that an entity is associated with, served in, or is part of a specific branch of a military organization.
  • 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_69a25946a7ac8190a78871c210213272 completed Feb. 28, 2026, 2:56 a.m.
NER Named-entity recognition batch_69a25e2f5c0081908e548b314f5e986d completed Feb. 28, 2026, 3:17 a.m.
PD Predicate disambiguation batch_69a25b7c1448819082064f474633acd5 completed Feb. 28, 2026, 3:05 a.m.
Created at: Feb. 28, 2026, 3:02 a.m.