Triple
T17147389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Downhill Double Dipper |
E416124
|
entity |
| Predicate | hasRideDuration |
P11363
|
FINISHED |
| Object | short ride duration |
—
|
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: short ride duration | Statement: [Downhill Double Dipper, hasRideDuration, short ride duration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRideDuration Context triple: [Downhill Double Dipper, hasRideDuration, short ride duration]
-
A.
rideDuration
chosen
Indicates the length of time that a ride or trip lasts from start to finish.
-
B.
hasTrailDuration
Indicates that an entity (such as a trail or route) is associated with a specific amount of time required to traverse or complete it.
-
C.
hasPilgrimageDuration
Indicates the length of time associated with completing a particular pilgrimage.
-
D.
voyageDuration
Indicates the length of time that a voyage or journey lasts from its start to its end.
-
E.
approximateTripDuration
Indicates the estimated length of time required to complete a trip between specified locations or points in a journey.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f404f0e88190b7ac9ac523fdc7da |
completed | April 18, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69e3830d2a90819092386717dc56f0e8 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:36 a.m.