Triple
T14746979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SkyCoaster |
E346497
|
entity |
| Predicate | hasTypicalRideDuration |
P11363
|
FINISHED |
| Object | about 1 minute of free-swinging |
—
|
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: about 1 minute of free-swinging | Statement: [SkyCoaster, hasTypicalRideDuration, about 1 minute of free-swinging]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalRideDuration Context triple: [SkyCoaster, hasTypicalRideDuration, about 1 minute of free-swinging]
-
A.
hasTypicalVisitDuration
Indicates the usual or expected length of time that a visit to something typically lasts.
-
B.
typicalTourDuration
Indicates the usual length of time that a tour normally takes to complete.
-
C.
hasTypicalPerformanceDuration
Indicates the usual or expected length of time that a performance or activity typically lasts.
-
D.
hasTypicalEastboundDurationHours
Indicates the usual number of hours it takes for something (such as a trip or process) to be completed when moving or proceeding eastbound.
-
E.
rideDuration
chosen
Indicates the length of time that a ride or trip lasts from start to finish.
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7d116e88190828b163b18d80f68 |
completed | April 14, 2026, 11:03 p.m. |
| PD | Predicate disambiguation | batch_69de8bf9331481909582045cd567d91f |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:30 a.m.