Triple
T19434090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oracle File Storage Service |
E486187
|
entity |
| Predicate | supportsMountTargets |
P135872
|
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: [Oracle File Storage Service, supportsMountTargets, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsMountTargets Context triple: [Oracle File Storage Service, supportsMountTargets, true]
-
A.
supportsTargetType
Indicates that one entity is capable of operating with, handling, or being compatible with a specified target type.
-
B.
supportsBlockStorage
Indicates that one entity provides or is compatible with block-level storage capabilities for another entity.
-
C.
supportsMountNamespaces
Indicates that one entity provides or enables the use of mount namespaces for another entity or within a given environment.
-
D.
supportsCloudModel
Indicates that one entity provides compatibility with, or operational backing for, a cloud-based model offered or used by another entity.
-
E.
supportsMultipleOnSameTarget
Indicates that the relationship or action can be applied multiple times concurrently to the same target 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6335dae10819096e1825741f814ed |
completed | April 20, 2026, 2:08 p.m. |
| PD | Predicate disambiguation | batch_69e4fd6e806081909053f325ba01ab6b |
completed | April 19, 2026, 4:06 p.m. |
| PDg | Predicate description generation | batch_69e5004c23308190a087b7941a90725f |
completed | April 19, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:37 p.m.