Triple

T6525045
Position Surface form Disambiguated ID Type / Status
Subject LabVIEW E151280 entity
Predicate supportsStandard P1587 FINISHED
Object Modbus E216146 NE 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: Modbus | Statement: [LabVIEW, supportsStandard, Modbus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Modbus
Context triple: [LabVIEW, supportsStandard, Modbus]
  • A. Modbus chosen
    Modbus is a widely used serial communication protocol in industrial automation systems for connecting electronic devices and transmitting data between controllers and field instruments.
  • B. I2C
    I2C is a widely used two-wire serial communication bus that enables simple, low-speed data exchange between microcontrollers and peripheral devices on the same circuit board.
  • C. CAN bus
    CAN bus is a robust automotive serial communication network standard that allows microcontrollers and devices to communicate with each other without a host computer, widely used in vehicles and industrial systems.
  • D. EtherCAT
    EtherCAT is a high-performance industrial Ethernet protocol designed for real-time control in automation systems.
  • E. Sercos III
    Sercos III is a real-time industrial Ethernet communication standard widely used for high-performance motion control and automation systems.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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.
NED1 Entity disambiguation (via context triple) batch_69c6d5271b7c8190a602f6ec72efe04c completed March 27, 2026, 7:06 p.m.
Created at: March 27, 2026, 1:45 p.m.