Triple
T12267276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conditional GAN |
E292378
|
entity |
| Predicate | architectureCanUse |
P104134
|
FINISHED |
| Object | convolutional neural networks |
—
|
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: convolutional neural networks | Statement: [Conditional GAN, architectureCanUse, convolutional neural networks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: architectureCanUse Context triple: [Conditional GAN, architectureCanUse, convolutional neural networks]
-
A.
architecturalUse
Indicates how a structure, space, or element is intended to be used or function within an architectural context.
-
B.
architecturalPlanner
Indicates a relationship where an entity is responsible for designing, organizing, or planning the architectural structure or layout of another entity.
-
C.
architectureType
Indicates the specific style or category of architecture that characterizes or defines an entity.
-
D.
architecturalOrderUsed
Indicates that a particular architectural order (e.g., Doric, Ionic, Corinthian) is employed in the design or construction of a structure or its elements.
-
E.
architectureName
Indicates the specific name or title assigned to an architecture.
- 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d9380a5e78819086bd4dfe9a83d1f5 |
completed | April 10, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69d91c4a66cc819083ce6fcaf5042af6 |
completed | April 10, 2026, 3:50 p.m. |
| PDg | Predicate description generation | batch_69d93805cee08190a532ebcf5908e617 |
completed | April 10, 2026, 5:48 p.m. |
Created at: April 8, 2026, 9:52 p.m.