Triple

T63824
Position Surface form Disambiguated ID Type / Status
Subject TLS E1268 entity
Predicate usesMechanism P1687 FINISHED
Object public key cryptography 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: public key cryptography | Statement: [TLS, usesMechanism, public key cryptography]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesMechanism
Context triple: [TLS, usesMechanism, public key cryptography]
  • A. usesEquipment
    Indicates that an entity employs or operates a particular piece of equipment to perform an action or fulfill a function.
  • B. isMechanicalOrElectronic
    Indicates that something operates using mechanical components, electronic components, or a combination of both.
  • C. removalMechanism
    Indicates the method or process by which something is removed, eliminated, or taken away from a system or context.
  • D. usesInstrument
    Indicates that an agent performs an action by employing a specific instrument or tool as the means to carry it out.
  • E. securityMechanism chosen
    Indicates a relationship where one entity serves as a means or method to protect another entity from threats, vulnerabilities, or unauthorized actions.
  • 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_69a24ba4f760819081f6638a3c70538a completed Feb. 28, 2026, 1:57 a.m.
NER Named-entity recognition batch_69a24fd16c248190a6ee4cd96c388772 completed Feb. 28, 2026, 2:15 a.m.
PD Predicate disambiguation batch_69a24ea3c44081908fa3856969881d1f completed Feb. 28, 2026, 2:10 a.m.
Created at: Feb. 28, 2026, 2:02 a.m.