Triple
T17627457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lötschberg railway line |
E429884
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | BLS AG |
—
|
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: BLS AG | Statement: [Lötschberg railway line, operator, BLS AG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BLS AG Context triple: [Lötschberg railway line, operator, BLS AG]
-
A.
BLS AG
chosen
BLS AG is a major Swiss railway company that operates regional and commuter train services, particularly in and around the canton of Bern.
-
B.
Brugg AG
Brugg AG is a municipality in the canton of Aargau in northern Switzerland, known as a regional transport hub and local economic center.
-
C.
BLS Schifffahrt
BLS Schifffahrt is a Swiss shipping company that operates passenger boat services on lakes in the Bernese Oberland region.
-
D.
Aral AG
Aral AG is a major German brand of fuel stations and petroleum products, widely recognized for its network of service stations across Germany.
-
E.
C. Lorenz AG
C. Lorenz AG was a German electronics and communications company known for pioneering radio, radar, and navigation systems, including the influential Lorenz beam landing aid.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46dbe3a308190a818d04f1a9b15f7 |
completed | April 19, 2026, 5:53 a.m. |
Created at: April 10, 2026, 5:52 a.m.