Triple

T11427521
Position Surface form Disambiguated ID Type / Status
Subject PanelView E270791 entity
Predicate supportsProtocol P203 FINISHED
Object EtherNet/IP E924835 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: EtherNet/IP | Statement: [PanelView, supportsProtocol, EtherNet/IP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EtherNet/IP
Context triple: [PanelView, supportsProtocol, EtherNet/IP]
  • A. EtherNet/IP chosen
    EtherNet/IP is an industrial Ethernet network protocol widely used for real-time control and data exchange in automation systems, based on the Common Industrial Protocol (CIP).
  • B. DeviceNet
    DeviceNet is an industrial fieldbus network protocol used primarily for connecting industrial controllers with I/O devices, drives, and other automation components over a robust, real-time communication network.
  • C. EtherCAT
    EtherCAT is a high-performance industrial Ethernet protocol designed for real-time control in automation systems.
  • D. PROFINET IRT
    PROFINET IRT is a real-time industrial Ethernet communication technology designed for high-speed, deterministic data exchange in automation and motion control applications.
  • E. PROFINET RT
    PROFINET RT is a real-time industrial Ethernet communication protocol widely used for time-critical data exchange in 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d806c000b88190bfaa646b2dc424b7 completed April 9, 2026, 8:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d36cee548190a8215ba088bdb01a completed April 20, 2026, 7:19 a.m.
Created at: April 8, 2026, 9:35 p.m.