Triple
T5656912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krakatau Aqua Coaster |
E124640
|
entity |
| Predicate | queueEnvironment |
P853
|
FINISHED |
| Object | themed to tropical volcano setting |
—
|
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: themed to tropical volcano setting | Statement: [Krakatau Aqua Coaster, queueEnvironment, themed to tropical volcano setting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: queueEnvironment Context triple: [Krakatau Aqua Coaster, queueEnvironment, themed to tropical volcano setting]
-
A.
queueType
Indicates the classification or category of a queue that specifies how items in it are organized, prioritized, or processed.
-
B.
queueLocation
Indicates the place or position where an entity is arranged to wait in a queue or line.
-
C.
launchEnvironment
Indicates the specific context, configuration, or setting in which a launch or deployment action takes place.
-
D.
environmentType
chosen
Indicates the kind or category of environment associated with an entity or situation.
-
E.
isEnvironmentOf
Indicates that one entity serves as the surrounding conditions, context, or setting in which another entity exists, operates, or occurs.
- 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_69c0082774a481909d7e63fb2aad56ac |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c0236d3f94819095111c41a323612d |
completed | March 22, 2026, 5:14 p.m. |
| PD | Predicate disambiguation | batch_69c021ba4ec481909db8cdbf0e907dd6 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:42 p.m.