Triple
T1188701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wave Swinger |
E25305
|
entity |
| Predicate | typicalRiderEmotion |
P26169
|
FINISHED |
| Object | excitement |
—
|
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: excitement | Statement: [Wave Swinger, typicalRiderEmotion, excitement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalRiderEmotion Context triple: [Wave Swinger, typicalRiderEmotion, excitement]
-
A.
hasRollerCoaster
Indicates that one entity possesses, contains, or features a roller coaster as part of it.
-
B.
joyLevel
Indicates the degree or intensity of joy experienced or expressed by an entity.
-
C.
primaryRiders
Indicates that the referenced entities are the main or principal riders associated with a particular vehicle, trip, or ride-related event.
-
D.
viewOnEmotion
Indicates a relationship where one entity holds a particular emotional perspective, reaction, or attitude toward another entity or situation.
-
E.
faceExpression
Indicates the specific facial expression an entity is displaying, capturing its visible emotional or expressive state.
- 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_69a49427d98881908646d6c63b8cea1e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd568cf481908d10cf19a3ce28f3 |
completed | March 1, 2026, 10:27 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5bacc481909e8dfd5215e4711a |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bd0ab5f88190bb583fc63b4cc150 |
completed | March 1, 2026, 10:26 p.m. |
Created at: March 1, 2026, 7:45 p.m.