Triple
T26939001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Austrian railway network |
E678459
|
entity |
| Predicate | hasMountainRoutes |
P170931
|
FINISHED |
| Object | Alpine regions of Austria |
—
|
NE NERFINISHED |
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: Alpine regions of Austria | Statement: [Austrian railway network, hasMountainRoutes, Alpine regions of Austria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMountainRoutes Context triple: [Austrian railway network, hasMountainRoutes, Alpine regions of Austria]
-
A.
includesMountainRoutes
chosen
Indicates that the described route, path, or itinerary contains one or more segments that pass through or over mountainous terrain.
-
B.
isMountainRoad
Indicates that a given road is classified as a mountain road, typically traversing or situated within mountainous terrain.
-
C.
hasScenicRoutes
Indicates that one location, path, or area offers routes that are visually attractive or notable for their natural or aesthetic scenery.
-
D.
hasMountain
Indicates that a location or region possesses or contains at least one mountain.
-
E.
hasMountainAccess
Indicates that an entity has the right, ability, or means to enter, use, or traverse a mountain area.
- 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_69eeeb4d69588190a7c912164a1c37b3 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
Created at: April 27, 2026, 6:17 a.m.