Triple
T5469493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bern S-Bahn |
E122795
|
entity |
| Predicate | operatedBy |
P86
|
FINISHED |
| Object | BLS AG |
E110111
|
NE 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: BLS AG | Statement: [Bern S-Bahn, operatedBy, BLS AG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BLS AG Context triple: [Bern S-Bahn, operatedBy, 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.
BLS Schifffahrt
BLS Schifffahrt is a Swiss shipping company that operates passenger boat services on lakes in the Bernese Oberland region.
-
C.
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.
-
D.
Insel Gruppe AG
Insel Gruppe AG is a major Swiss hospital network and healthcare provider based in Bern.
-
E.
Schluchseewerk AG
Schluchseewerk AG is a German energy company best known for operating major hydropower and pumped-storage plants in the Black Forest region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd46459ff48190823377457bcf7128 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd921b65f48190af7fcf89140f9ba8 |
completed | March 20, 2026, 6:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf4893029081908a801c7a44872ebf |
completed | March 22, 2026, 1:40 a.m. |
Created at: March 20, 2026, 2:09 p.m.