Triple
T11550879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warnock algorithm |
E273884
|
entity |
| Predicate | complexityCharacteristic |
P28756
|
FINISHED |
| Object | adaptive to scene and image complexity |
—
|
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: adaptive to scene and image complexity | Statement: [Warnock algorithm, complexityCharacteristic, adaptive to scene and image complexity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: complexityCharacteristic Context triple: [Warnock algorithm, complexityCharacteristic, adaptive to scene and image complexity]
-
A.
hasComplexity
chosen
Indicates that something possesses a certain level or type of complexity, often in terms of structure, behavior, or difficulty.
-
B.
typicalComplexity
Indicates the usual or characteristic level of complexity associated with an entity, process, or situation.
-
C.
runtimeCharacteristic
Indicates a relationship where a system, process, or component is associated with a property or behavior that specifically manifests during its execution or operation time.
-
D.
hasReasoningComplexity
Indicates that an action, process, or decision involves a certain level or type of cognitive or logical complexity in its reasoning.
-
E.
dimensionCharacteristic
Indicates that one entity specifies or describes a dimensional property or measurement characteristic of 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88a83f1e88190aabf11a4c8a6c9e5 |
completed | April 10, 2026, 5:28 a.m. |
| PD | Predicate disambiguation | batch_69d8087e57b48190a4c253dc0210f9d4 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:37 p.m.