Triple
T4384944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EtherCAT |
E99218
|
entity |
| Predicate | typicalCycleTime |
P50806
|
FINISHED |
| Object | sub-millisecond |
—
|
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: sub-millisecond | Statement: [EtherCAT, typicalCycleTime, sub-millisecond]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalCycleTime Context triple: [EtherCAT, typicalCycleTime, sub-millisecond]
-
A.
typicalTimes
Indicates the usual or characteristic times at which an event, activity, or condition typically occurs.
-
B.
typicalCompletionTimeInWeeks
Indicates the usual number of weeks it takes to complete the associated task, process, or activity.
-
C.
typicalDurationDays
Indicates the usual or expected number of days that an associated event, process, or state typically lasts.
-
D.
typicalTestDuration
Indicates the usual or expected length of time required to complete a given test.
-
E.
operatingCycle
chosen
Indicates the duration or process through which an entity completes a full sequence of its operations from start to finish.
- 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.