Triple
T29636229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neural Discrete Representation Learning |
E755721
|
entity |
| Predicate | representationSpace |
P193604
|
FINISHED |
| Object | finite set of embedding vectors |
—
|
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: finite set of embedding vectors | Statement: [Neural Discrete Representation Learning, representationSpace, finite set of embedding vectors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representationSpace Context triple: [Neural Discrete Representation Learning, representationSpace, finite set of embedding vectors]
-
A.
representationSystem
Indicates a system or framework used to represent, encode, or symbolize information, concepts, or entities.
-
B.
spatialRepresentation
Indicates that one entity serves as a spatial depiction, model, or encoding of the location, layout, or geometric properties of another entity.
-
C.
representation
Indicates that one entity stands in for, symbolizes, or depicts another entity in some context.
-
D.
representationWithRespectTo
Indicates a relationship in which one entity serves as a representation, depiction, or stand-in for another entity under a particular perspective, context, or interpretive framework.
-
E.
representationType
Indicates the specific form or mode in which something is represented or expressed (e.g., as a symbol, image, model, or description).
- 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_69f0ef88fbe081908f0ad90c1c413f1c |
completed | April 28, 2026, 5:34 p.m. |
| NER | Named-entity recognition | batch_69fd4d1854988190be093b103a681798 |
completed | May 8, 2026, 2:40 a.m. |
| PD | Predicate disambiguation | batch_69fd4c8d1a188190897c24527337814a |
completed | May 8, 2026, 2:38 a.m. |
| PDg | Predicate description generation | batch_69fd4d16dd20819096957c40f43cd971 |
completed | May 8, 2026, 2:40 a.m. |
Created at: April 28, 2026, 6:44 p.m.