Triple
T17521157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TD3 |
E426680
|
entity |
| Predicate | handlesActionSpace |
P55915
|
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: [TD3, handlesActionSpace, continuous]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: handlesActionSpace Context triple: [TD3, handlesActionSpace, continuous]
-
A.
actionSpace
Indicates the set of all possible actions an agent can take in a given environment or decision-making context.
-
B.
supportsActionSpace
chosen
Indicates that one entity is capable of enabling, handling, or being compatible with a specified action space for operations or behaviors.
-
C.
actionSpaceType
Indicates the type or category of action space in which an agent or system can operate (e.g., discrete, continuous, or mixed).
-
D.
hasActionType
Indicates that an action or event is classified as belonging to a specific type or category of actions.
-
E.
hasKeyAction
Indicates that an entity performs or is associated with a primary or essential action within a given 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_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.