Triple
T30663951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Streak |
E780605
|
entity |
| Predicate | isCedarPointOldestOperatingCoaster |
P169994
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Blue Streak, isCedarPointOldestOperatingCoaster, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCedarPointOldestOperatingCoaster Context triple: [Blue Streak, isCedarPointOldestOperatingCoaster, true]
-
A.
isFamilyCoaster
Indicates that a roller coaster is designed to be suitable and enjoyable for riders of all ages, including children and families.
-
B.
notableFormerCoaster
Indicates that an entity was formerly a roller coaster at a given location or organization and is notable for that past status.
-
C.
sisterCoaster
Indicates that two roller coasters are related as “sister” rides, typically sharing a close design, theme, or manufacturer relationship.
-
D.
coasterType
Indicates the specific category or style of a coaster that characterizes its design or function.
-
E.
spaceMountainOpeningYear
Indicates the calendar year in which a specific Space Mountain attraction first opened to the public.
- 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_69f224a6d10481909290be1a00fc83b3 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68ae29de08190be2cd4d95c0fa0a4 |
completed | May 2, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69f6861170d08190bb98be609d436f84 |
completed | May 2, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69f688034580819086a0f9100645f8ba |
completed | May 2, 2026, 11:25 p.m. |
Created at: April 29, 2026, 8:31 p.m.