Triple
T645542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A fast learning algorithm for deep belief nets |
E11232
|
entity |
| Predicate | architectureProperty |
P16907
|
FINISHED |
| Object | multiple layers of 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: multiple layers of latent variables | Statement: [A fast learning algorithm for deep belief nets, architectureProperty, multiple layers of latent variables]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: architectureProperty Context triple: [A fast learning algorithm for deep belief nets, architectureProperty, multiple layers of latent variables]
-
A.
architectureType
Indicates the specific style or category of architecture that characterizes or defines an entity.
-
B.
buildingType
Indicates the specific category or function that characterizes what kind of building something is.
-
C.
builtProperty
Indicates that a constructed structure or building has been created on, or is associated with, a particular property or piece of land.
-
D.
building
Indicates that one entity constructs, assembles, or develops another entity, typically over a period of time.
-
E.
roofFeature
Indicates that one entity is a feature, element, or characteristic that is part of or associated with a roof.
- 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_69a493266a2881909daf4c40f719dee8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49f19f9a08190b0bf6e19b32427ff |
completed | March 1, 2026, 8:18 p.m. |
| PD | Predicate disambiguation | batch_69a49d0a0ab481909871461418a00be7 |
completed | March 1, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69a49dc0e6a08190b81d82a6f2571c41 |
completed | March 1, 2026, 8:12 p.m. |
Created at: March 1, 2026, 7:36 p.m.