Triple
T32378730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Model-View-Presenter |
E827354
|
entity |
| Predicate | ModelRole |
P2006
|
FINISHED |
| Object | encapsulates application data |
—
|
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: encapsulates application data | Statement: [Model-View-Presenter, ModelRole, encapsulates application data]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ModelRole Context triple: [Model-View-Presenter, ModelRole, encapsulates application data]
-
A.
roleInGemini3
Indicates that an entity holds a specific role or function within the Gemini 3 mission or project.
-
B.
model
chosen
Indicates that one entity serves as a representation, example, or simulation of another entity or concept.
-
C.
agentRole
Indicates that one entity participates in an action or event by fulfilling a specific role or function as its agent.
-
D.
communicationModelRole
Indicates the role an entity plays within a communication model, specifying its function or position in the communication process.
-
E.
learningRole
Indicates that one entity has a specific role or function within a learning or educational context in relation to another entity.
- 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_69f349177ddc8190ab0583f05597056b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c13307548190b3e209bff21ab524 |
completed | May 3, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6eb32c8190bf405b2011fa48f7 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:51 a.m.