Triple
T32417103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Model-View-Update |
E828354
|
entity |
| Predicate | hasModelRole |
P161
|
FINISHED |
| Object | represents application state |
—
|
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: represents application state | Statement: [Model-View-Update, hasModelRole, represents application state]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasModelRole Context triple: [Model-View-Update, hasModelRole, represents application state]
-
A.
hasAccessModel
Indicates that one entity is permitted to use, interact with, or retrieve a particular model controlled by another entity or system.
-
B.
hasRole
chosen
Indicates that an entity occupies, performs, or is assigned a specific role or function in relation to another entity or context.
-
C.
hadUserAccessModel
Indicates that a user previously had permission to access or use a specific model.
-
D.
hasMetaRole
Indicates that an entity holds a secondary, contextual, or higher-level role in relation to another role or activity.
-
E.
hasAuthorModel
Indicates that something is associated with or defined by a particular authoring model.
- 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_69f34919f300819092b541c6277cd68a |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe38be079c8190a240191ac0e73e3a |
completed | May 8, 2026, 7:25 p.m. |
| PD | Predicate disambiguation | batch_69fe350344508190930de2218156ca02 |
completed | May 8, 2026, 7:09 p.m. |
Created at: May 1, 2026, 12:54 a.m.