Triple

T383872
Position Surface form Disambiguated ID Type / Status
Subject United States airspace E8736 entity
Predicate securityObjective P10168 FINISHED
Object protection against airborne threats 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: protection against airborne threats | Statement: [United States airspace, securityObjective, protection against airborne threats]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: securityObjective
Context triple: [United States airspace, securityObjective, protection against airborne threats]
  • A. securityGoal chosen
    Indicates that an action, system, or policy is intended to achieve, support, or satisfy a specified security objective or protection target.
  • B. security
    Indicates that an entity provides protection, safety measures, or safeguards to another entity or against specific threats or risks.
  • C. protectionObjective
    Indicates that one entity has the goal or purpose of safeguarding, defending, or preserving another entity or its interests.
  • D. securityAspect
    Indicates a relationship where something pertains to, represents, or characterizes a particular aspect or dimension of security.
  • 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_69a2e7f47dd08190a4e294ccbbe46cd4 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec422b808190b6ddf747ef939151 completed Feb. 28, 2026, 1:23 p.m.
PD Predicate disambiguation batch_69a2e967d84c8190a6b647f78d95d4e4 completed Feb. 28, 2026, 1:11 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.