Triple

T35627632
Position Surface form Disambiguated ID Type / Status
Subject CANopen E1029498 entity
Predicate usesDataLinkLayer P1378 FINISHED
Object CAN 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: CAN | Statement: [CANopen, usesDataLinkLayer, CAN]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesDataLinkLayer
Context triple: [CANopen, usesDataLinkLayer, CAN]
  • A. usesDataLink
    Indicates that one entity employs or relies on a data link connection to communicate with or transfer data to another entity.
  • B. linkLayer chosen
    Indicates a relationship where one entity is connected to another at the data link (Layer 2) level of a network stack, enabling direct frame-level communication between them.
  • C. subLayerInDataLinkLayer
    Indicates that one protocol or component functions as a subordinate or encapsulated sublayer within another protocol or component in the data link layer of a network stack.
  • D. usesBasebandTransmission
    Indicates that one entity employs baseband transmission, meaning it sends digital signals directly over a communication medium without modulating them onto a higher-frequency carrier.
  • E. usesPhysicalLayerPipe
    Indicates that one entity employs a specific physical-layer transmission path or channel provided by another entity to carry its data.
  • 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_69f76e07bb0c8190968ea2d836fc42c9 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f79f15e6ac8190916822e28724534a completed May 3, 2026, 7:16 p.m.
PD Predicate disambiguation batch_69f79e4bdbcc8190be7a0d2cf8a77b64 completed May 3, 2026, 7:13 p.m.
Created at: May 3, 2026, 4:05 p.m.