Triple
T4425331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arcade Learning Environment |
E95193
|
entity |
| Predicate | observationSpace |
P55919
|
FINISHED |
| Object | high-dimensional visual observations |
—
|
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: high-dimensional visual observations | Statement: [Arcade Learning Environment, observationSpace, high-dimensional visual observations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: observationSpace Context triple: [Arcade Learning Environment, observationSpace, high-dimensional visual observations]
-
A.
observationType
Indicates the specific kind or category of observation being made or recorded in a given context.
-
B.
observationPlatform
Indicates that one entity serves as the physical or virtual platform, site, or facility from which observations of another entity or phenomenon are made.
-
C.
observation
Indicates that one entity perceives, monitors, or takes note of another entity or phenomenon, typically to gather information about it.
-
D.
observationArc
Indicates a relationship where one entity serves as an observational link or span over which another entity is monitored, tracked, or measured across a period or range.
-
E.
observerStatusIn
Indicates that an entity’s status or role is defined or valid within a specified observational context, system, or environment.
- 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_69b3453c2a0c8190926b574c90766db9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3554e40ec8190982acc0948da2f42 |
completed | March 13, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69b34f5eabe88190a12b244ea71e46d6 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b3505a87b4819083fbbd58870e520b |
completed | March 12, 2026, 11:46 p.m. |
Created at: March 12, 2026, 11:30 p.m.