Triple
T7937977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OpenStack |
E184327
|
entity |
| Predicate | supportsScalability |
P22686
|
FINISHED |
| Object | horizontal scaling |
—
|
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: horizontal scaling | Statement: [OpenStack, supportsScalability, horizontal scaling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsScalability Context triple: [OpenStack, supportsScalability, horizontal scaling]
-
A.
scalability
chosen
Indicates the capacity of a system, process, or solution to handle increasing amounts of work, users, or data by efficiently expanding its resources or performance.
-
B.
supportsSubdirectoryScalability
Indicates that one entity enables or enhances another entity’s ability to efficiently handle growth in the number or depth of its subdirectories.
-
C.
requiresFeatureScaling
Indicates that applying feature scaling is a necessary preprocessing step for the associated data or model.
-
D.
hasInfrastructureScale
Indicates the relative size, capacity, or extent of infrastructure associated with or supporting an entity.
-
E.
hasLargeScale
Indicates that an entity operates, exists, or is implemented at a large or extensive scale relative to typical or baseline cases.
- 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_69ca8290c21c8190906a5ca6fe2b03c4 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3aef2394819086eea1f6ab117aed |
completed | March 31, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69cae93526d081909303265bf60419fd |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:08 p.m.