Triple
T29636141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VQ-VAE |
E755720
|
entity |
| Predicate | hasLatentSpaceType |
P32186
|
FINISHED |
| Object | discrete latent space |
—
|
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: discrete latent space | Statement: [VQ-VAE, hasLatentSpaceType, discrete latent space]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLatentSpaceType Context triple: [VQ-VAE, hasLatentSpaceType, discrete latent space]
-
A.
hasSpaceType
chosen
Indicates that one entity is associated with, or classified by, a particular type or category of space.
-
B.
hasLatticeStructure
Indicates that one entity possesses or exhibits a lattice structure, meaning its elements are partially ordered such that any two elements have well-defined least upper and greatest lower bounds.
-
C.
hasStructureType
Indicates that an entity possesses or is classified by a specific structural type or configuration.
-
D.
hasBaseSpace
Indicates that one entity is defined or structured with respect to another entity that serves as its underlying base space.
-
E.
hasHilbertSpace
Indicates that an entity is associated with, defined on, or characterized by a particular Hilbert space in which its states or operations are represented.
- 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_69f0ef88fbe081908f0ad90c1c413f1c |
completed | April 28, 2026, 5:34 p.m. |
| NER | Named-entity recognition | batch_69fd64bc86848190a49f451a8fc5cf1e |
completed | May 8, 2026, 4:21 a.m. |
| PD | Predicate disambiguation | batch_69fd5ff4a648819090756d90fd195d9a |
completed | May 8, 2026, 4 a.m. |
Created at: April 28, 2026, 6:44 p.m.