Triple

T53322
Position Surface form Disambiguated ID Type / Status
Subject Operational Camouflage Pattern E1049 entity
Predicate camouflageEffectiveness P3301 FINISHED
Object improvedOverUniversalCamouflagePattern 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: improvedOverUniversalCamouflagePattern | Statement: [Operational Camouflage Pattern, camouflageEffectiveness, improvedOverUniversalCamouflagePattern]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: camouflageEffectiveness
Context triple: [Operational Camouflage Pattern, camouflageEffectiveness, improvedOverUniversalCamouflagePattern]
  • A. camouflagePattern
    Indicates that one entity has a surface or visual design intended to conceal it by blending with its surroundings or disrupting its outline.
  • B. adaptationType
    Indicates the specific kind or category of adaptation that relates one entity to another or to a particular context.
  • C. notableSpecies
    Indicates that the subject is known for, or significantly associated with, the specified species.
  • D. fauna
    Indicates that an entity is an animal or part of the animal life associated with a particular place or context.
  • E. adaptation
    Indicates a relationship where one entity changes or is modified to better suit, function within, or correspond to another entity or context.
  • F. None of above. chosen

Provenance (4 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_69a248adc5b48190aa8db9fb092fb28a completed Feb. 28, 2026, 1:45 a.m.
NER Named-entity recognition batch_69a24c709c248190bcd442c8d508e48c completed Feb. 28, 2026, 2:01 a.m.
PD Predicate disambiguation batch_69a24ac3c8dc819099849023bdaa35a9 completed Feb. 28, 2026, 1:54 a.m.
PDg Predicate description generation batch_69a24c6ff0588190b0fd864da9aa8569 completed Feb. 28, 2026, 2:01 a.m.
Created at: Feb. 28, 2026, 1:50 a.m.