Triple
T18005346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Urach Waterfall |
E430730
|
entity |
| Predicate | hasWalkingTimeFrom |
P53938
|
FINISHED |
| Object | about 30–60 minutes from Bad Urach |
—
|
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 30–60 minutes from Bad Urach | Statement: [Urach Waterfall, hasWalkingTimeFrom, about 30–60 minutes from Bad Urach]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWalkingTimeFrom Context triple: [Urach Waterfall, hasWalkingTimeFrom, about 30–60 minutes from Bad Urach]
-
A.
hasApproximateWalkingTimeTo
chosen
Indicates that there is an estimated or approximate amount of time it takes to walk from one entity to another.
-
B.
hasWalkingRouteType
Indicates that an entity is associated with a specific type or category of walking route (e.g., trail, path, or walking itinerary).
-
C.
hasNearbyWalkingRoutes
Indicates that there are walkable paths or routes located close to the referenced entity.
-
D.
hasWalkingRouteConnection
Indicates that there is a walkable path or route directly connecting two locations.
-
E.
reducedTravelTimeFrom
Indicates that one entity has caused or experienced a decrease in the amount of time required to travel from a specified origin entity.
- 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b51ba1888190a339d726e92f376b |
completed | April 19, 2026, 10:57 a.m. |
| PD | Predicate disambiguation | batch_69e3f90039e4819080527f860dca042e |
completed | April 18, 2026, 9:34 p.m. |
Created at: April 10, 2026, 10:24 a.m.