Triple

T235178
Position Surface form Disambiguated ID Type / Status
Subject New Look defense policy E4493 entity
Predicate securityConcept P3815 FINISHED
Object massive retaliation 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: massive retaliation | Statement: [New Look defense policy, securityConcept, massive retaliation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: securityConcept
Context triple: [New Look defense policy, securityConcept, massive retaliation]
  • A. security
    Indicates that an entity provides protection, safety measures, or safeguards to another entity or against specific threats or risks.
  • B. securityMechanism
    Indicates a relationship where one entity serves as a means or method to protect another entity from threats, vulnerabilities, or unauthorized actions.
  • C. securityAspect chosen
    Indicates a relationship where something pertains to, represents, or characterizes a particular aspect or dimension of security.
  • D. securityFeature
    Indicates that an entity provides, embodies, or is associated with a mechanism or property intended to enhance safety, protection, or defense against threats or vulnerabilities.
  • E. securityProgram
    Indicates that an entity is associated with, participates in, or is governed by a security program, such as a set of policies, controls, or initiatives related to safety or protection.
  • 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_69a257363ffc81909757bde7ab3404da completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25cc9ab2c81909af278a07f86aa1e completed Feb. 28, 2026, 3:11 a.m.
PD Predicate disambiguation batch_69a25b5dc640819092669575731c393f completed Feb. 28, 2026, 3:05 a.m.
Created at: Feb. 28, 2026, 2:53 a.m.