Triple
T27832935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Container-Optimized OS |
E703150
|
entity |
| Predicate | bootMode |
P143140
|
FINISHED |
| Object | image-based system |
—
|
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: image-based system | Statement: [Container-Optimized OS, bootMode, image-based system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bootMode Context triple: [Container-Optimized OS, bootMode, image-based system]
-
A.
bootOption
Indicates the specific startup configuration or device choice used when a system boots.
-
B.
bootBehavior
chosen
Indicates how a system or device behaves during its startup or boot process.
-
C.
bootProcess
Indicates the sequence of actions required to start up and initialize a system from a powered-off or reset state.
-
D.
bootMedium
Indicates that one entity serves as the medium or device from which another entity is booted or started.
-
E.
bootLoader
Indicates that one entity functions as the boot loader responsible for initializing or starting up another entity (such as a system, device, or software environment).
- 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_69ef840b94b08190950a4f77296938b2 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f6389cf96c8190a045e3c53f83f3cd |
completed | May 2, 2026, 5:47 p.m. |
| PD | Predicate disambiguation | batch_69f6318ae6f08190b3f85f9201046a15 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 5:57 p.m.