Triple
T28997939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glow |
E736216
|
entity |
| Predicate | hasLatentSpace |
P103790
|
FINISHED |
| Object | continuous latent variables |
—
|
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: continuous latent variables | Statement: [Glow, hasLatentSpace, continuous latent variables]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLatentSpace Context triple: [Glow, hasLatentSpace, continuous latent variables]
-
A.
hasNeuralNetwork
Indicates that an entity possesses, incorporates, or is equipped with a neural network.
-
B.
mapsLatentSpaceWith
chosen
Indicates a relationship where one entity transforms or projects another entity into a latent (hidden or abstract) representational space.
-
C.
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.
-
D.
hasPhaseSpace
Indicates that one entity possesses, is associated with, or is characterized by a particular phase space (the mathematical space of all possible states of a system).
-
E.
hasLagrangian
Indicates that a physical system or theory is associated with a specific Lagrangian function that characterizes its dynamics.
- 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_69f077eacd0481908ef0bafd74491cd0 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69fd2839880c819099a7a89783f2270e |
completed | May 8, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69fd23dc5da48190ae8ba08947d34956 |
completed | May 7, 2026, 11:44 p.m. |
Created at: April 28, 2026, 9:32 a.m.