Triple

T656023
Position Surface form Disambiguated ID Type / Status
Subject Soviet armed forces E11649 entity
Predicate nuclearWeaponsProgram P17998 FINISHED
Object Soviet nuclear weapons program 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: Soviet nuclear weapons program | Statement: [Soviet armed forces, nuclearWeaponsProgram, Soviet nuclear weapons program]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: nuclearWeaponsProgram
Context triple: [Soviet armed forces, nuclearWeaponsProgram, Soviet nuclear weapons program]
  • A. nuclearWeaponsState
    Indicates that a state possesses, has developed, or is recognized as having nuclear weapons capabilities.
  • B. hasNuclearWeapons
    Indicates that the subject possesses or controls nuclear weapons.
  • C. hasNuclearRole
    Indicates that an entity participates in, is responsible for, or holds authority related to nuclear activities, functions, or capabilities.
  • D. positionOnNuclearWeapons
    Indicates a stance, policy, or viewpoint that an entity holds regarding the development, possession, use, or regulation of nuclear weapons.
  • E. nuclearMaterial
    Indicates that the subject entity is or contains nuclear material, or is directly associated with nuclear substances used for energy, research, or weapons.
  • 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_69a4932862a0819098be659c814e4981 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49f4d57688190a9515ac494a97b22 completed March 1, 2026, 8:19 p.m.
PD Predicate disambiguation batch_69a49d121cec81909986c91291bb4ca8 completed March 1, 2026, 8:09 p.m.
PDg Predicate description generation batch_69a49ee356c0819085e2e82831cf1360 completed March 1, 2026, 8:17 p.m.
Created at: March 1, 2026, 7:36 p.m.