Triple

T425494
Position Surface form Disambiguated ID Type / Status
Subject Apple M2 E8197 entity
Predicate hasSecureEnclave P8765 FINISHED
Object yes 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: yes | Statement: [Apple M2, hasSecureEnclave, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSecureEnclave
Context triple: [Apple M2, hasSecureEnclave, yes]
  • A. hasSecuritySupport
    Indicates that one entity provides security-related assistance, maintenance, or protection services for another entity.
  • B. hasCrypt
    Indicates that one entity possesses, contains, or is associated with a crypt belonging to or located within it.
  • C. containsEnclave
    Indicates that one region or territory fully surrounds and encloses another distinct region or territory as an enclave.
  • D. hasExclave
    Indicates that a territory or administrative unit possesses an exclave—part of its area that is geographically separated from its main portion and surrounded by foreign territory.
  • E. hasSecurityArchitecture chosen
    Indicates that an entity is associated with or defined by a particular security architecture design or framework.
  • 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_69a2e7f1d1bc81909cf2dc9754a3c334 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2eed56ab481909eec289075496260 completed Feb. 28, 2026, 1:34 p.m.
PD Predicate disambiguation batch_69a2edd6736c81909a6ca549f77b4345 completed Feb. 28, 2026, 1:29 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.