Triple

T25310792
Position Surface form Disambiguated ID Type / Status
Subject PBB E634601 entity
Predicate usesEncapsulationType P33248 FINISHED
Object MAC-in-MAC encapsulation 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: MAC-in-MAC encapsulation | Statement: [PBB, usesEncapsulationType, MAC-in-MAC encapsulation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesEncapsulationType
Context triple: [PBB, usesEncapsulationType, MAC-in-MAC encapsulation]
  • A. encapsulation chosen
    Indicates that one entity encloses, contains, or wraps another entity or set of details within a defined boundary, often hiding internal structure from external access.
  • B. hasEnclosures
    Indicates that an entity possesses or contains one or more enclosing structures, spaces, or bounded areas associated with it.
  • C. usesHarmonyType
    Indicates that one entity employs or is characterized by a particular type or system of harmony in relation to another.
  • D. usesAbstraction
    Indicates that one entity employs or relies on an abstract representation or interface of another entity rather than interacting with its concrete implementation directly.
  • E. hasEnclosedDesign
    Indicates that one entity is designed to be fully or partially enclosed within the physical or structural boundaries of another entity.
  • 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_69e75a972c6481909bc11710e8d30a6c completed April 21, 2026, 11:08 a.m.
NER Named-entity recognition batch_69f4939e84dc8190bef761d9bfee08a6 completed May 1, 2026, 11:50 a.m.
PD Predicate disambiguation batch_69f45d06d0388190b36ecde92013624a completed May 1, 2026, 7:57 a.m.
Created at: April 21, 2026, 1:26 p.m.