Triple
T9898504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Model-View-Controller |
E182232
|
entity |
| Predicate | modelResponsibility |
P636
|
FINISHED |
| Object | manage 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: manage application data | Statement: [Model-View-Controller, modelResponsibility, manage application data]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modelResponsibility Context triple: [Model-View-Controller, modelResponsibility, manage application data]
-
A.
securityResponsibilityModel
Indicates the framework or scheme that defines how security responsibilities are allocated and managed among involved parties.
-
B.
responsibleFor
chosen
Indicates that one entity has a duty, obligation, or role to manage, oversee, or be accountable for another entity or outcome.
-
C.
model
Indicates that one entity serves as a representation, example, or simulation of another entity or concept.
-
D.
lifecycleResponsibility
Indicates that one entity is responsible for managing or overseeing the entire lifecycle of another entity, from creation through modification to retirement or disposal.
-
E.
possibleModel
Indicates that one entity can serve as a potential or candidate model or template for 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_69ca82876f8081909cf75df0f99bb13f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb4ac27d88190b8255f7e616f95c9 |
completed | April 2, 2026, 12:13 a.m. |
| PD | Predicate disambiguation | batch_69cd1d872d50819096b7ab166a8decf1 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:40 p.m.