Triple
T11655174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | runc |
E276996
|
entity |
| Predicate | supportsNetworkNamespaces |
P100205
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [runc, supportsNetworkNamespaces, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsNetworkNamespaces Context triple: [runc, supportsNetworkNamespaces, true]
-
A.
supportsNestedVirtualization
Indicates that one computing environment or platform enables and correctly handles running virtual machines inside other virtual machines.
-
B.
supportsKernelSpaceTracing
Indicates that an entity provides functionality to perform tracing operations within the operating system’s kernel space.
-
C.
supportsNSSA
Indicates that one entity provides assistance, resources, or advocacy to uphold, maintain, or advance the goals, operations, or initiatives of the NSSA.
-
D.
hasNamespaces
Indicates that an entity is associated with one or more namespaces that define its scoping or organizational context.
-
E.
supportsNetworkingModel
Indicates that one entity provides compatibility with, or implementation of, a specified networking model for another entity.
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a3cee010819089cffdbefe5a6efb |
completed | April 10, 2026, 7:16 a.m. |
| PD | Predicate disambiguation | batch_69d85ddc780481909a3bc63832fe2bd2 |
completed | April 10, 2026, 2:18 a.m. |
| PDg | Predicate description generation | batch_69d87f30642c8190ad94fa061cde186b |
completed | April 10, 2026, 4:40 a.m. |
Created at: April 8, 2026, 9:39 p.m.