Triple
T8482986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rainbow DQN |
E200562
|
entity |
| Predicate | usesDistributionalMethod |
P9754
|
FINISHED |
| Object | categorical value distribution (C51) |
—
|
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: categorical value distribution (C51) | Statement: [Rainbow DQN, usesDistributionalMethod, categorical value distribution (C51)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesDistributionalMethod Context triple: [Rainbow DQN, usesDistributionalMethod, categorical value distribution (C51)]
-
A.
usedByDistribution
Indicates that something (such as a resource, component, or artifact) is utilized or consumed by a particular distribution.
-
B.
distributionMethod
Indicates the means or channel through which something (such as a product, resource, or information) is delivered or made available to recipients.
-
C.
distributedWith
Indicates that one entity is supplied, packaged, or made available together with another entity as part of the same distribution.
-
D.
handlesDistributionOf
Indicates that one entity is responsible for managing or overseeing the distribution or delivery of another entity.
-
E.
hasDistributionFunction
chosen
Indicates that an entity is associated with a specific distribution function that characterizes how its values or occurrences are probabilistically or statistically distributed.
- 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.