Triple
T17521274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MuJoCo environments |
E426682
|
entity |
| Predicate | stateIncludes |
P127785
|
FINISHED |
| Object | joint positions |
—
|
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: joint positions | Statement: [MuJoCo environments, stateIncludes, joint positions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateIncludes Context triple: [MuJoCo environments, stateIncludes, joint positions]
-
A.
includesStateOrProvince
Indicates that one entity geographically contains or encompasses a specific state or province within its boundaries.
-
B.
stateName
Indicates that an entity is identified by or associated with a particular state’s name.
-
C.
stateOrRegion
Indicates that one entity is a state or region in which the other entity is located or with which it is associated.
-
D.
primaryStates
Indicates that certain states or conditions are the main or most fundamental ones within a given context or system.
-
E.
includesMostOfState
Indicates that one geographic or political entity contains the majority of the area or extent of a given state within its boundaries.
- 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_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. |
| PDg | Predicate description generation | batch_69e3bbb37d148190b7f38599c06594ee |
completed | April 18, 2026, 5:13 p.m. |
Created at: April 10, 2026, 5:49 a.m.