Triple
T5404502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carowinds |
E120857
|
entity |
| Predicate | rollerCoasterType |
P63789
|
FINISHED |
| Object | steel roller coasters |
—
|
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: steel roller coasters | Statement: [Carowinds, rollerCoasterType, steel roller coasters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rollerCoasterType Context triple: [Carowinds, rollerCoasterType, steel roller coasters]
-
A.
isFamilyCoaster
Indicates that a roller coaster is designed to be suitable and enjoyable for riders of all ages, including children and families.
-
B.
numberOfRollerCoasters
Indicates the quantity of roller coasters associated with a given entity.
-
C.
partOfAttractionType
Indicates that one attraction type is a component or subset of a broader, more general attraction type.
-
D.
themeParkComplex
Indicates a relationship where one entity is a theme park complex that encompasses or is composed of the other entity or entities.
-
E.
hasRollerCoaster
Indicates that one entity possesses, contains, or features a roller coaster as part of it.
- 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_69bd46391c0c81909fa484446732b6a3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8932b8bc8190bd31e11b167a7212 |
completed | March 20, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_69bd84660ea08190a641084814fcf94d |
completed | March 20, 2026, 5:31 p.m. |
| PDg | Predicate description generation | batch_69bd8931302c81908afcb0f011e91f09 |
completed | March 20, 2026, 5:51 p.m. |
Created at: March 20, 2026, 2:05 p.m.