Triple

T35627626
Position Surface form Disambiguated ID Type / Status
Subject Controller Area Network E1029497 entity
Predicate messageAddressing P183466 FINISHED
Object message-based addressing 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: message-based addressing | Statement: [Controller Area Network, messageAddressing, message-based addressing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: messageAddressing
Context triple: [Controller Area Network, messageAddressing, message-based addressing]
  • A. addressing
    Indicates that one entity is directing speech, communication, or attention specifically toward another entity.
  • B. addressedBy
    Indicates that something (such as an issue, request, or item) is handled, dealt with, or responded to by a particular agent or entity.
  • C. addressingMethod
    Indicates the manner or form of address one entity uses when speaking or referring to another entity.
  • D. addressedFor
    Indicates that something is directed, designated, or intended for a particular recipient or target.
  • E. isAddressedTo
    Indicates that a message, communication, or item is specifically directed or intended for a particular recipient.
  • F. None of above. chosen

Provenance (4 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_69f76e07bb0c8190968ea2d836fc42c9 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f79f7340e4819092a1a47f7028e63f completed May 3, 2026, 7:18 p.m.
PD Predicate disambiguation batch_69f79e4bdbcc8190be7a0d2cf8a77b64 completed May 3, 2026, 7:13 p.m.
PDg Predicate description generation batch_69f79ec14ce08190b22cee0b40d33743 completed May 3, 2026, 7:15 p.m.
Created at: May 3, 2026, 4:05 p.m.