Triple
T12735092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Demänovská Ice Cave |
E304340
|
entity |
| Predicate | showRouteDuration |
P106629
|
FINISHED |
| Object | about 45 minutes |
—
|
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 45 minutes | Statement: [Demänovská Ice Cave, showRouteDuration, about 45 minutes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: showRouteDuration Context triple: [Demänovská Ice Cave, showRouteDuration, about 45 minutes]
-
A.
showDuration
Indicates the length of time for which something is shown, displayed, or performed.
-
B.
approximateDrivingTime
Indicates the estimated amount of time it takes to drive from one location to another under typical conditions.
-
C.
totalRouteLength
Indicates the overall distance or length of an entire route when all its segments are combined.
-
D.
approximateRouteLength
Indicates the estimated total distance or length of a given route, rather than its exact measured value.
-
E.
previousTravelTimeOnRoute
Indicates the duration of travel that occurred earlier on the same route before the current segment or time period.
- F. None of above. chosen
Provenance (4 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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d89ea70819098c470344f172167 |
completed | April 10, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69d96403957c81909acdee7bdae71696 |
completed | April 10, 2026, 8:56 p.m. |
| PDg | Predicate description generation | batch_69d96d87078c819083ea724238992204 |
completed | April 10, 2026, 9:37 p.m. |
Created at: April 9, 2026, 5:26 p.m.