Triple
T13241726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CAN bus |
E315294
|
entity |
| Predicate | errorDetectionMethod |
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: [CAN bus, errorDetectionMethod, cyclic redundancy check]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: errorDetectionMethod Context triple: [CAN bus, errorDetectionMethod, cyclic redundancy check]
-
A.
requiresDetectionOf
Indicates that one entity can only occur, be valid, or proceed if another entity has first been detected or identified.
-
B.
detected
Indicates that an entity has observed, identified, or discovered the presence or occurrence of another entity or event.
-
C.
diagnosisMethod
Indicates the method, procedure, or technique used to establish or confirm a diagnosis for a condition or case.
-
D.
scrutinyMethods
Indicates the methods or procedures used to examine, inspect, or critically evaluate something.
-
E.
detectorType
Indicates the specific kind or category of detector associated with an entity or measurement.
- F. None of above. chosen
Provenance (4 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d59e84c8190a9e547d0fe26a5f9 |
completed | April 10, 2026, 11:52 p.m. |
| PD | Predicate disambiguation | batch_69d98bcb21648190aef241de1e7887e2 |
completed | April 10, 2026, 11:46 p.m. |
| PDg | Predicate description generation | batch_69d98c959ba08190adf29dc0c4e1fca6 |
completed | April 10, 2026, 11:49 p.m. |
Created at: April 9, 2026, 9:23 p.m.