Triple
T31755090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flying Dutchman coaster model |
E810535
|
entity |
| Predicate | riderSupportMechanism |
P26167
|
FINISHED |
| Object | tilting seats |
—
|
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: tilting seats | Statement: [Flying Dutchman coaster model, riderSupportMechanism, tilting seats]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: riderSupportMechanism Context triple: [Flying Dutchman coaster model, riderSupportMechanism, tilting seats]
-
A.
riderType
Indicates the category or role of a rider in relation to a ride, transport service, or vehicle (e.g., passenger, driver, courier).
-
B.
supportsRiderPosition
chosen
Indicates that one entity provides a stable or appropriate base or configuration that maintains or accommodates the rider’s body position.
-
C.
mechanicalTransport
Indicates a relationship where an entity is moved or carried from one place to another using a mechanical means of transportation (e.g., vehicles, machines, or devices).
-
D.
isRiddenBy
Indicates that an entity serves as a mount or vehicle that is being ridden by another entity.
-
E.
carriedVehicleMount
Indicates that one entity serves as a vehicle-mounted platform used to transport or carry another entity.
- 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_69f348e340d48190b780fae618c51464 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6ab7bcad88190acb61c516f87eff0 |
completed | May 3, 2026, 1:57 a.m. |
| PD | Predicate disambiguation | batch_69f6aa20a1588190a53533fc9764efb2 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 30, 2026, 11:29 p.m.