Triple
T4565113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ko’okiri Body Plunge |
E121889
|
entity |
| Predicate | hasThrillLevel |
P22104
|
FINISHED |
| Object | high-thrill |
—
|
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: high-thrill | Statement: [Ko’okiri Body Plunge, hasThrillLevel, high-thrill]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasThrillLevel Context triple: [Ko’okiri Body Plunge, hasThrillLevel, high-thrill]
-
A.
thrillLevel
chosen
Indicates the degree of excitement or intensity of exhilaration associated with an experience, action, or situation.
-
B.
hasThrillRides
Indicates that an entity offers or includes thrill rides as part of its features or attractions.
-
C.
hasRollerCoaster
Indicates that one entity possesses, contains, or features a roller coaster as part of it.
-
D.
hasDramaticElements
Indicates that something contains features or qualities characteristic of drama, such as heightened emotion, tension, or conflict.
-
E.
hasStunts
Indicates that one entity performs, includes, or is associated with stunt actions for another entity or context.
- 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_69bd463f156881908a99aca69c5721ac |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd589cde9081909b84186d700fc463 |
completed | March 20, 2026, 2:24 p.m. |
| PD | Predicate disambiguation | batch_69bd52254c648190a5144cfe8fa7e409 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:09 p.m.