Triple

T2447609
Position Surface form Disambiguated ID Type / Status
Subject DisplayPort E53629 entity
Predicate dataTransmissionMode P7413 FINISHED
Object packet-based 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: packet-based | Statement: [DisplayPort, dataTransmissionMode, packet-based]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: dataTransmissionMode
Context triple: [DisplayPort, dataTransmissionMode, packet-based]
  • A. duplexMode
    Indicates whether a communication link or device operates in half-duplex or full-duplex mode, defining if data can flow in one or both directions simultaneously.
  • B. transmissionType chosen
    Indicates the method or medium through which something is transmitted or conveyed from one entity to another.
  • C. 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.
  • D. transmissionTypeSupported
    Indicates that a particular type of transmission is compatible with or can be used by a given system, device, or component.
  • E. communicationMode
    Indicates the method or channel through which communication between entities is carried out.
  • 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_69ab495d227c8190b26ae6548eeb1019 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd2bc7b5481908b3664495e99f1a4 completed March 7, 2026, 7:24 a.m.
PD Predicate disambiguation batch_69abd0aed2688190a18fe66b98d80e0b completed March 7, 2026, 7:15 a.m.
Created at: March 6, 2026, 9:43 p.m.