Triple

T8248506
Position Surface form Disambiguated ID Type / Status
Subject Hydra E192900 entity
Predicate ethicalUse P65232 FINISHED
Object authorized security testing only 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: authorized security testing only | Statement: [Hydra, ethicalUse, authorized security testing only]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ethicalUse
Context triple: [Hydra, ethicalUse, authorized security testing only]
  • A. ethicalInstruction
    Indicates that one entity provides guidance, teaching, or directives to another entity about moral principles or ethical behavior.
  • B. ethicalResponsibility
    Indicates a relationship in which an entity is morally obligated to act, decide, or respond in a certain way toward another entity or situation.
  • C. ethicalDebate
    Indicates a relationship where parties are engaged in discussing, questioning, or disputing the moral rightness or wrongness of actions, policies, or principles.
  • D. hasEthicalDimension
    Indicates that the relationship, action, or situation involves moral considerations, value judgments, or ethical implications.
  • E. hasEthicalConstraint chosen
    Indicates that an entity is subject to a specified ethical rule, limitation, or normative requirement that governs its behavior or decisions.
  • 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_69ca82de7b8c81908d8106f8a53cff9b completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb78c6b3c48190a3ecebf449766124 completed March 31, 2026, 7:33 a.m.
PD Predicate disambiguation batch_69cb36b437e881909958591357e83b9d completed March 31, 2026, 2:51 a.m.
Created at: March 30, 2026, 5:48 p.m.