Triple
T31755058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boomerang roller coaster model |
E810534
|
entity |
| Predicate | typicalLiftConfiguration |
—
|
GENERATED |
| Object | single lift hill with catch car |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalLiftConfiguration Context triple: [Boomerang roller coaster model, typicalLiftConfiguration, single lift hill with catch car]
-
A.
hasLiftType
chosen
Indicates the specific type or category of lift associated with an entity.
-
B.
typicalPickupConfiguration
Indicates the usual or standard arrangement or setup used for picking up or collecting something in a given context.
-
C.
hasVerticalLiftHeight
Indicates the vertical distance through which something can be raised or lifted.
-
D.
hasLift
Indicates that one entity is equipped with, contains, or provides access to a lift (elevator).
-
E.
typicalUnitConfiguration
Indicates the standard or commonly used arrangement, composition, or setup of a unit in a given context.
- F. None of above.
Provenance (1 batch)
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. |
Created at: April 30, 2026, 11:29 p.m.