Triple
T16211339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Double Shot |
E393471
|
entity |
| Predicate | typicalRiderOrientation |
P122172
|
FINISHED |
| Object | facing outward from tower |
—
|
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: facing outward from tower | Statement: [Double Shot, typicalRiderOrientation, facing outward from tower]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalRiderOrientation Context triple: [Double Shot, typicalRiderOrientation, facing outward from tower]
-
A.
typicalRiderEmotion
Indicates the characteristic or commonly experienced emotion that a rider typically feels in the context of a particular riding situation or activity.
-
B.
intendedRiderExperience
Indicates the type or quality of experience that is planned or designed for a rider in the context of a ride or transportation service.
-
C.
riderType
Indicates the category or role of a rider in relation to a ride, transport service, or vehicle (e.g., passenger, driver, courier).
-
D.
primaryRiders
Indicates that the referenced entities are the main or principal riders associated with a particular vehicle, trip, or ride-related event.
-
E.
isRiddenBy
Indicates that an entity serves as a mount or vehicle that is being ridden by another entity.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e227f1bef8819094e724f5cd0b86d5 |
completed | April 17, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_69e219e94a448190b73a4e6aa374eb4a |
completed | April 17, 2026, 11:30 a.m. |
| PDg | Predicate description generation | batch_69e21e55a2388190b29a045a8c608ba4 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:03 a.m.