Triple
T19505941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FOUNDATION Fieldbus |
E488019
|
entity |
| Predicate | competesWith |
P1375
|
FINISHED |
| Object | EtherNet/IP |
—
|
NE NERFINISHED |
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: [FOUNDATION Fieldbus, competesWith, EtherNet/IP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EtherNet/IP Context triple: [FOUNDATION Fieldbus, competesWith, 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.
PROFINET
PROFINET is an industrial Ethernet standard designed for real-time data communication and automation in manufacturing and process control environments.
-
C.
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.
-
D.
EtherCAT
EtherCAT is a high-performance industrial Ethernet protocol designed for real-time control in automation systems.
-
E.
PROFIBUS
PROFIBUS is an industrial fieldbus communication standard widely used for real-time data exchange between automation systems and field devices in manufacturing and process industries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63511fc688190bd1474406060fa1b |
completed | April 20, 2026, 2:15 p.m. |
Created at: April 10, 2026, 1:40 p.m.