Triple
T11550876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warnock algorithm |
E273884
|
entity |
| Predicate | processingDomain |
P82042
|
FINISHED |
| Object | image plane |
—
|
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: image plane | Statement: [Warnock algorithm, processingDomain, image plane]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: processingDomain Context triple: [Warnock algorithm, processingDomain, image plane]
-
A.
processingUse
Indicates that one entity uses or applies another entity as part of a processing or transformation activity.
-
B.
executionDomain
chosen
Indicates the context, environment, or scope within which an action, process, or operation is carried out or valid.
-
C.
processedTo
Indicates that one entity is transformed or converted into another entity through some processing operation.
-
D.
outputDomain
Indicates the type or range of values that can be produced as the result of a function, process, or system.
-
E.
partOfProcess
Indicates that one event, step, or action occurs as a component or stage within a larger overall process.
- 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.