Triple

T6524977
Position Surface form Disambiguated ID Type / Status
Subject NI roboRIO E151279 entity
Predicate hasDigitalIOChannels P12916 FINISHED
Object multiple 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: multiple | Statement: [NI roboRIO, hasDigitalIOChannels, multiple]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDigitalIOChannels
Context triple: [NI roboRIO, hasDigitalIOChannels, multiple]
  • A. isAnalogOrDigital
    Indicates whether something operates using analog signals/representation or digital signals/representation.
  • B. dataPinCount chosen
    Indicates the number of data pins associated with or used by an entity in a given context.
  • C. hasDigitalSystem
    Indicates that an entity possesses, uses, or is equipped with a digital system (such as software, hardware, or an integrated digital platform).
  • D. hasNumberOfAmplifierChannels
    Indicates the relationship that specifies how many amplifier channels are present or supported in the associated entity.
  • E. hasCommunicationInterface
    Indicates that one entity provides or supports a specific means or channel through which it can communicate or exchange data with another entity or system.
  • 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_69c687f522748190b3058405553cdabd completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ad9831f88190a2b64cf6bc8c9a11 completed March 27, 2026, 4:17 p.m.
PD Predicate disambiguation batch_69c68abbc7148190a8270d47fe10cc31 completed March 27, 2026, 1:48 p.m.
Created at: March 27, 2026, 1:45 p.m.