Triple
T18300731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MPE (Multi-Agent Particle Environments) |
E438350
|
entity |
| Predicate | agentActionSpace |
P56712
|
FINISHED |
| Object | continuous control actions |
—
|
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 control actions | Statement: [MPE (Multi-Agent Particle Environments), agentActionSpace, continuous control actions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: agentActionSpace Context triple: [MPE (Multi-Agent Particle Environments), agentActionSpace, continuous control actions]
-
A.
actionSpace
Indicates the set of all possible actions an agent can take in a given environment or decision-making context.
-
B.
actionSpaceType
chosen
Indicates the type or category of action space in which an agent or system can operate (e.g., discrete, continuous, or mixed).
-
C.
supportsActionSpace
Indicates that one entity is capable of enabling, handling, or being compatible with a specified action space for operations or behaviors.
-
D.
plannedAction
Indicates that an action is intended or scheduled to occur in the future, but has not yet been executed.
-
E.
allowsPlayerAction
Indicates that one entity permits or enables a player to perform a specific action within a system or context.
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5017f63dc819083a675d570620f2f |
completed | April 19, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69e44fdf43d08190bbcfb6b1fe3cc0ee |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:35 a.m.