Triple
T35627705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CANopen |
E1029498
|
entity |
| Predicate | hasErrorControlMechanism |
P8166
|
FINISHED |
| Object | heartbeat |
—
|
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: heartbeat | Statement: [CANopen, hasErrorControlMechanism, heartbeat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasErrorControlMechanism Context triple: [CANopen, hasErrorControlMechanism, heartbeat]
-
A.
hasMechanism
chosen
Indicates that one entity operates, functions, or produces an effect through the specified mechanism or process.
-
B.
hasEnforcementMethod
Indicates that an entity applies, uses, or is associated with a specific method or mechanism for enforcing rules, obligations, or constraints.
-
C.
hasCheckAndBalanceFunction
Indicates that one entity performs a checking or limiting role on another entity’s powers, providing oversight and balance within a system.
-
D.
haveHighLevelMechanism
Indicates that an entity possesses or is associated with a high-level, abstract mechanism explaining how something works or occurs.
-
E.
hasSecurityStandard
Indicates that an entity complies with, follows, or is governed by a specified security standard or framework.
- 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.