Triple
T9945658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linux kernel release process |
E195196
|
entity |
| Predicate | typicalMergeWindowLength |
P84192
|
FINISHED |
| Object | approximately 2 weeks |
—
|
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: approximately 2 weeks | Statement: [Linux kernel release process, typicalMergeWindowLength, approximately 2 weeks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalMergeWindowLength Context triple: [Linux kernel release process, typicalMergeWindowLength, approximately 2 weeks]
-
A.
typicalLength
Indicates the usual or characteristic length associated with an entity or phenomenon.
-
B.
typicalPeriod
chosen
Indicates the usual or characteristic time interval or duration associated with an event, process, or state.
-
C.
typicalWidth
Indicates the usual or characteristic width associated with an entity, as opposed to an exact or measured width in a specific instance.
-
D.
maximumSegmentLength
Indicates the greatest allowable or observed length of a segment within a given context or structure.
-
E.
typicalDurationDays
Indicates the usual or expected number of days that an associated event, process, or state typically lasts.
- 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_69ca82e96a108190932bd1fc4acd73a0 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb61561848190aba7250f3b3c4ed5 |
completed | April 2, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69cd1d97c44081908730071269f07712 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:45 p.m.