Triple
T29108632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neural Fitted Q-Iteration |
E736830
|
entity |
| Predicate | supportsStateSpace |
P204003
|
FINISHED |
| Object | continuous state spaces |
—
|
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 state spaces | Statement: [Neural Fitted Q-Iteration, supportsStateSpace, continuous state spaces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsStateSpace Context triple: [Neural Fitted Q-Iteration, supportsStateSpace, continuous state spaces]
-
A.
supportsActionSpace
Indicates that one entity is capable of enabling, handling, or being compatible with a specified action space for operations or behaviors.
-
B.
supportsObservationSpace
Indicates that one entity provides or enables an observation space capability for another entity.
-
C.
typicalStateSpace
Indicates the usual or standard set of states in which an entity, system, or process is considered to operate.
-
D.
supportsFormOfState
Indicates that one entity endorses, upholds, or favors a particular form or system of state governance associated with another entity.
-
E.
supportedIn
Indicates that one entity is valid, applicable, or functionally enabled within the context, environment, platform, or scope defined by another entity.
- 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_69f077ec765c81909474c88bcc8bab43 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_6a0309a4e4d481908a6070b40d507aae |
completed | May 12, 2026, 11:06 a.m. |
| PD | Predicate disambiguation | batch_6a03091ac1008190bf50357364d4e9e4 |
completed | May 12, 2026, 11:03 a.m. |
| PDg | Predicate description generation | batch_6a0309a3e5148190a07ab2a60529bafd |
completed | May 12, 2026, 11:06 a.m. |
Created at: April 28, 2026, 11:17 a.m.