Triple
T12061473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Åström–Wittenmark adaptive control framework |
E287179
|
entity |
| Predicate | typicalControllerType |
P103005
|
FINISHED |
| Object | model reference adaptive controller |
—
|
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: model reference adaptive controller | Statement: [Åström–Wittenmark adaptive control framework, typicalControllerType, model reference adaptive controller]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalControllerType Context triple: [Åström–Wittenmark adaptive control framework, typicalControllerType, model reference adaptive controller]
-
A.
typicalCoreType
Indicates that something is a standard or characteristic core type within a given classification or system.
-
B.
typicalComponent
Indicates that one entity is a standard or representative component or part of another entity.
-
C.
typeOfControl
Indicates the specific manner or mechanism by which one entity exercises control or influence over another.
-
D.
controlsType
Indicates that one entity has authority over, or the ability to direct or regulate, the type or category of another entity.
-
E.
typicalEntryType
Indicates the usual or standard category or kind of entry associated with something.
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902bda47c8190b94860b31df4a98c |
completed | April 10, 2026, 2:01 p.m. |
| PDg | Predicate description generation | batch_69d91006e14081909838412df082f794 |
completed | April 10, 2026, 2:58 p.m. |
Created at: April 8, 2026, 9:48 p.m.