Triple

T9030097
Position Surface form Disambiguated ID Type / Status
Subject Modbus E216146 entity
Predicate hasVariant P455 FINISHED
Object Modbus RTU 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 RTU | Statement: [Modbus, hasVariant, Modbus RTU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Modbus RTU
Context triple: [Modbus, hasVariant, Modbus RTU]
  • 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. Modbus Plus
    Modbus Plus is a high-speed, token-passing, peer-to-peer industrial networking protocol developed as an enhanced version of Modbus for robust communication between automation devices.
  • 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. 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.
  • E. RTL433
    RTL433 is an open-source software tool that decodes radio transmissions from a wide range of low-cost ISM band devices such as sensors, weather stations, and remote controls using RTL-SDR and similar receivers.
  • 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_69ca83a5fa88819088144801b4dd7245 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6a9e0aa881908886f453c51ecd0e completed April 1, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfeb83e8988190bf29baa1aff11ac0 completed April 3, 2026, 4:32 p.m.
Created at: March 30, 2026, 7:08 p.m.