Triple
T4325723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flask-Admin |
E96629
|
entity |
| Predicate | typicalComponent |
P56257
|
FINISHED |
| Object | Admin class |
—
|
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: Admin class | Statement: [Flask-Admin, typicalComponent, Admin class]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalComponent Context triple: [Flask-Admin, typicalComponent, Admin class]
-
A.
componentType
Indicates that one entity specifies or classifies the kind or category of component that another entity represents or uses.
-
B.
typicalCoreType
Indicates that something is a standard or characteristic core type within a given classification or system.
-
C.
definesComponent
Indicates that one entity specifies or establishes the structure, behavior, or characteristics of another entity as its component.
-
D.
componentElement
Indicates that one entity is a constituent or part of another, larger entity or structure.
-
E.
component1
Indicates that one entity functions as a constituent or part of another entity within a larger whole.
- 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_69b34542fd908190b11b08faad8decfd |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3513020f481909ff2fec3934f3002 |
completed | March 12, 2026, 11:50 p.m. |
| PD | Predicate disambiguation | batch_69b34f4bec888190987fc2631498b637 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b3501834448190bedf775a80da4778 |
completed | March 12, 2026, 11:45 p.m. |
Created at: March 12, 2026, 11:13 p.m.