Triple
T4384956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EtherCAT |
E99218
|
entity |
| Predicate | mediaSupport |
P33573
|
FINISHED |
| Object | twisted pair copper cables |
—
|
LITERAL 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: twisted pair copper cables | Statement: [EtherCAT, mediaSupport, twisted pair copper cables]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediaSupport Context triple: [EtherCAT, mediaSupport, twisted pair copper cables]
-
A.
mediaDependentInterface
Indicates that one interface or interaction is contingent on, or varies according to, the characteristics or type of the media involved.
-
B.
mediaUse
chosen
Indicates that an entity makes use of, consumes, or engages with a particular medium or media resource.
-
C.
mediaResponse
Indicates that one entity serves as a reply or reaction in a media format (such as audio, video, or image) to another entity or communication.
-
D.
mediaCovered
Indicates that one entity (such as a media outlet or source) has reported on, featured, or otherwise provided coverage of another entity or event.
-
E.
mediaType
Indicates the format or category of media associated with an entity, such as text, image, audio, or video.
- F. None of above.
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_69b3454f739481909ff6c28331f0c0b9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35264e44c81908dd0e0a81f1353bb |
completed | March 12, 2026, 11:55 p.m. |
| PD | Predicate disambiguation | batch_69b34f572efc8190bad1e5078cbcb75a |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:19 p.m.