Triple
T6954632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Orville (ECV-197) |
E161210
|
entity |
| Predicate | hasEnvironmentalSimulator |
P31906
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [USS Orville (ECV-197), hasEnvironmentalSimulator, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEnvironmentalSimulator Context triple: [USS Orville (ECV-197), hasEnvironmentalSimulator, yes]
-
A.
hasSimulator
chosen
Indicates that one entity provides or is associated with a simulator used to model, emulate, or test the behavior of another entity.
-
B.
hasEnvironmentalControl
Indicates that one entity regulates, influences, or manages the environmental conditions affecting another entity or area.
-
C.
hasEnvironmentalFunction
Indicates that an entity serves a specific role or purpose related to the environment, such as contributing to ecological processes, protection, or sustainability.
-
D.
isEnvironmentOf
Indicates that one entity serves as the surrounding conditions, context, or setting in which another entity exists, operates, or occurs.
-
E.
hasTrainingEnvironment
Indicates that an entity is associated with, or operates within, a specific environment or setting used for training or practice.
- 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_69c68852a9a0819097797e31d492e273 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dace1a94819095311e4288f01784 |
completed | March 27, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69c6d7bf0a7c8190b5ed4aca22ba9b97 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:29 p.m.