Triple
T8483000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rainbow DQN |
E200562
|
entity |
| Predicate | codeAvailability |
P57984
|
FINISHED |
| Object | open-source implementations in multiple frameworks (e.g., PyTorch, TensorFlow) |
—
|
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: open-source implementations in multiple frameworks (e.g., PyTorch, TensorFlow) | Statement: [Rainbow DQN, codeAvailability, open-source implementations in multiple frameworks (e.g., PyTorch, TensorFlow)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: codeAvailability Context triple: [Rainbow DQN, codeAvailability, open-source implementations in multiple frameworks (e.g., PyTorch, TensorFlow)]
-
A.
configurationAvailable
Indicates that a specific configuration option or setup is present and can be used or applied in the given context.
-
B.
commercialAvailability
Indicates that an entity is offered for sale or otherwise obtainable through commercial channels.
-
C.
availableWith
Indicates that one entity can be obtained, accessed, or used in conjunction with another entity.
-
D.
sourceAvailable
chosen
Indicates that the underlying source code or origin of an entity is accessible or obtainable.
-
E.
mapAvailability
Indicates that a map is accessible or provided for use in a given context or location.
- 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_69ca831b17988190a1f3f3413d57b820 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe53845e881909eeb32863c7aa942 |
completed | March 31, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69cbd107633c8190a36ba50e07876918 |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:12 p.m.