Triple
T29296278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dingboche |
E742839
|
entity |
| Predicate | typicalStopoverDuration |
—
|
GENERATED |
| Object | 1–2 days for acclimatization |
—
|
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: typicalStopoverDuration Context triple: [Dingboche, typicalStopoverDuration, 1–2 days for acclimatization]
-
A.
typicalStopoverCity
Indicates that a city commonly serves as an intermediate stop or layover point in a journey between other locations.
-
B.
typicalStopoverRegion
Indicates the geographic region where an entity (such as a migrating animal or traveler) most commonly makes an intermediate stop during its journey.
-
C.
aircraftStopover
Indicates that an aircraft makes an intermediate stop at a specific location during its journey between origin and final destination.
-
D.
typicalOvernightStop
Indicates that a location is commonly used as an overnight stopping point along a route or journey.
-
E.
stopoverLocation
Indicates that an entity makes an intermediate stop or layover at a specified location during a journey or route.
- F. None of above. chosen
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_69f0912323c48190b9a24ef8cf359225 |
completed | April 28, 2026, 10:51 a.m. |
Created at: April 28, 2026, 1:06 p.m.