Triple
T35627613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Controller Area Network |
E1029497
|
entity |
| Predicate | errorDetectionMethods |
P108684
|
FINISHED |
| Object | cyclic redundancy check |
—
|
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: cyclic redundancy check | Statement: [Controller Area Network, errorDetectionMethods, cyclic redundancy check]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: errorDetectionMethods Context triple: [Controller Area Network, errorDetectionMethods, cyclic redundancy check]
-
A.
errorDetectionMethod
chosen
Indicates the method or technique used to detect errors in a process, system, or data.
-
B.
errorDetectionCapability
Indicates the ability of an entity to detect the presence of errors in data, processes, or operations.
-
C.
hasModeOfDetection
Indicates that one entity is identified, measured, or observed using a specified method or technique of detection.
-
D.
requiresDetectionOf
Indicates that one entity can only occur, be valid, or proceed if another entity has first been detected or identified.
-
E.
errorIndicationMethod
Indicates how an error is signaled, reported, or made known within a system or process.
- 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_69f76e07bb0c8190968ea2d836fc42c9 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79f15e6ac8190916822e28724534a |
completed | May 3, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69f79e4bdbcc8190be7a0d2cf8a77b64 |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:05 p.m.