Triple
T13241741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CAN bus |
E315294
|
entity |
| Predicate | terminationResistance |
P108686
|
FINISHED |
| Object | typically 120 ohms at each end |
—
|
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: typically 120 ohms at each end | Statement: [CAN bus, terminationResistance, typically 120 ohms at each end]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: terminationResistance Context triple: [CAN bus, terminationResistance, typically 120 ohms at each end]
-
A.
terminationMechanism
Indicates the process or method by which an ongoing state, activity, or relationship is brought to an end.
-
B.
terminationRate
Indicates the frequency or proportion at which something (such as a process, contract, or relationship) is ended or discontinued over a given context or time period.
-
C.
terminationCondition
Indicates the condition or set of conditions under which an ongoing process, activity, or relationship is brought to an end.
-
D.
resistedUntil
Indicates that an entity continued to oppose or withstand another entity or force up to a specific point in time or event.
-
E.
resistedIn
Indicates that an entity actively opposed, withstood, or fought against something within a specific context, event, or location.
- 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.