Triple
T17521241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MuJoCo environments |
E426682
|
entity |
| Predicate | hasActionSpaceType |
P56712
|
FINISHED |
| Object | continuous |
—
|
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 | Statement: [MuJoCo environments, hasActionSpaceType, continuous]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasActionSpaceType Context triple: [MuJoCo environments, hasActionSpaceType, continuous]
-
A.
supportsActionSpace
Indicates that one entity is capable of enabling, handling, or being compatible with a specified action space for operations or behaviors.
-
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.
hasActionType
Indicates that an action or event is classified as belonging to a specific type or category of actions.
-
D.
hasSpaceType
Indicates that one entity is associated with, or classified by, a particular type or category of space.
-
E.
hasActuatorType
Indicates that an entity is equipped with or uses a specific type or category of actuator.
- 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e452d2f79881909556894728e255ab |
completed | April 19, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f8b9888190aa8a45e09acf4319 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:49 a.m.