Triple
T14533197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tennessee Tornado |
E340965
|
entity |
| Predicate | coasterModel |
P63190
|
FINISHED |
| Object | custom looping coaster |
—
|
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: custom looping coaster | Statement: [Tennessee Tornado, coasterModel, custom looping coaster]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coasterModel Context triple: [Tennessee Tornado, coasterModel, custom looping coaster]
-
A.
coasterType
chosen
Indicates the specific category or style of a coaster that characterizes its design or function.
-
B.
rollerCoasterType
Indicates that one entity is classified as a specific type or category of roller coaster in relation to another entity.
-
C.
isFamilyCoaster
Indicates that a roller coaster is designed to be suitable and enjoyable for riders of all ages, including children and families.
-
D.
numberOfRollerCoasters
Indicates the quantity of roller coasters associated with a given entity.
-
E.
indoorDarkRideElements
Indicates that the ride includes elements or segments that take place indoors in dark or low-light conditions.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dea053f9bc8190901b9d321811d881 |
completed | April 14, 2026, 8:15 p.m. |
| PD | Predicate disambiguation | batch_69de5c546c7081909e27d504ec360c5c |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:22 a.m.