Triple
T9676466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reparto Mobile |
E234164
|
entity |
| Predicate | typicalDeploymentContext |
P37480
|
FINISHED |
| Object | demonstrations |
—
|
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: demonstrations | Statement: [Reparto Mobile, typicalDeploymentContext, demonstrations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalDeploymentContext Context triple: [Reparto Mobile, typicalDeploymentContext, demonstrations]
-
A.
typicalDeployment
Indicates that one entity represents the standard or most commonly used deployment configuration or pattern for the other entity.
-
B.
typeOfDeployment
Indicates the specific manner or configuration in which something (such as a system, application, or resource) is deployed or made operational.
-
C.
deploymentType
Indicates the manner or configuration in which a system, application, or component is deployed or made operational.
-
D.
firstDeploymentContext
Indicates the context, environment, or situation in which something (typically a system, product, or capability) is initially deployed or put into operational use.
-
E.
hasTypicalUseContext
chosen
Indicates that something is commonly or characteristically used within a particular situation, setting, or context.
- 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_69ca848f55e48190b3f67252571c3d45 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c99ee0481908ead5f7112117c90 |
completed | April 1, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b5d40c8190850ad7a351445f32 |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:15 p.m.