Triple
T6023069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Furka Pass |
E134108
|
entity |
| Predicate | hasNearbyHeritageRailway |
P25143
|
FINISHED |
| Object | Furka Cogwheel Steam Railway |
—
|
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: Furka Cogwheel Steam Railway | Statement: [Furka Pass, hasNearbyHeritageRailway, Furka Cogwheel Steam Railway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyHeritageRailway Context triple: [Furka Pass, hasNearbyHeritageRailway, Furka Cogwheel Steam Railway]
-
A.
hasNearbyRailway
chosen
Indicates that one entity is located close to a railway associated with or relevant to another entity.
-
B.
hasHeritageRailwayStation
Indicates that an entity possesses or is associated with a railway station that is preserved or operated as a heritage or historical railway facility.
-
C.
hasNearbyRailwayStation
Indicates that a railway station is located within a short or convenient distance from the referenced entity.
-
D.
railwayHeritageFeature
Indicates that something is a feature associated with railway heritage, such as historically significant railway structures, equipment, or related elements.
-
E.
hasRailwayStation
Indicates that a place or location is served by, or contains, a railway station.
- 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_69c008742a5c8190b9cb9c2787a3d8b3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04fbd7978819085d683578bc62aa3 |
completed | March 22, 2026, 8:23 p.m. |
| PD | Predicate disambiguation | batch_69c049e75b3881908be106fbcf8c68d4 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:07 p.m.