Triple
T18257728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PROFINET RT |
E437258
|
entity |
| Predicate | contrastedWith |
P278
|
FINISHED |
| Object | PROFINET IRT |
—
|
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: PROFINET IRT | Statement: [PROFINET RT, contrastedWith, PROFINET IRT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PROFINET IRT Context triple: [PROFINET RT, contrastedWith, PROFINET IRT]
-
A.
PROFINET IRT
chosen
PROFINET IRT is a real-time industrial Ethernet communication technology designed for high-speed, deterministic data exchange in automation and motion control applications.
-
B.
PROFINET RT
PROFINET RT is a real-time industrial Ethernet communication protocol widely used for time-critical data exchange in automation systems.
-
C.
PROFINET
PROFINET is an industrial Ethernet standard designed for real-time data communication and automation in manufacturing and process control environments.
-
D.
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.
-
E.
PROFIBUS and PROFINET International
PROFIBUS and PROFINET International is a global industrial automation organization that develops, standardizes, and promotes the PROFIBUS and PROFINET communication technologies used in factory and process automation.
- 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4fd8879e88190893f8da7c3529496 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 10:34 a.m.