Triple

T11215249
Position Surface form Disambiguated ID Type / Status
Subject Valeur et Discipline E265419 entity
Predicate reflectsIdeal P69857 FINISHED
Object courage in military service 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: courage in military service | Statement: [Valeur et Discipline, reflectsIdeal, courage in military service]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reflectsIdeal
Context triple: [Valeur et Discipline, reflectsIdeal, courage in military service]
  • A. hasIdeal chosen
    Indicates that an entity holds or is associated with a guiding principle, standard, or value it considers perfect or most desirable.
  • B. hasIdealization
    Indicates that one entity is a simplified, abstracted, or ideal form or model of another entity, capturing its essential features while omitting complexities.
  • C. coreIdeal
    Indicates that something is a fundamental, central principle or value that defines or strongly guides another entity.
  • D. reflects
    Indicates that one entity (often a surface, medium, or representation) throws back, mirrors, or otherwise shows an image, property, or state of another entity.
  • E. reflectsPolicy
    Indicates that one entity embodies, represents, or is aligned with the rules, principles, or stance defined by a particular policy.
  • 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_69d6aac59460819089b9848b27f57848 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8e8eef48190932a85784ce15c86 completed April 9, 2026, 5:59 p.m.
PD Predicate disambiguation batch_69d75cfbbb188190861efd5d94fe27da completed April 9, 2026, 8:02 a.m.
Created at: April 8, 2026, 9:30 p.m.