Triple
T930006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bern railway station |
E20069
|
entity |
| Predicate | operatedBy |
P86
|
FINISHED |
| Object |
BLS AG
BLS AG is a major Swiss railway company that operates regional and commuter train services, particularly in and around the canton of Bern.
|
E110111
|
NE FINISHED |
How this triple was built (4 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 railway station, operatedBy, BLS AG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BLS AG Context triple: [Bern railway station, operatedBy, BLS AG]
-
A.
Buna-Werke
Buna-Werke was a synthetic rubber and fuel plant operated by IG Farben near Auschwitz, notorious for its use of forced labor from the adjacent Monowitz concentration camp during World War II.
-
B.
Glockner Group
The Glockner Group is a prominent mountain range in the Austrian Central Alps, known for its rugged peaks and extensive glaciation.
-
C.
Bühler
Bühler is a German-language surname borne by various notable individuals across fields such as politics, sports, and academia.
-
D.
BSE Global
BSE Global is the sports and entertainment company that owns and operates the Brooklyn Nets and related properties.
-
E.
Erla Maschinenwerk
Erla Maschinenwerk was a German aircraft manufacturing company best known for producing Messerschmitt fighter planes under license during World War II.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: BLS AG Triple: [Bern railway station, operatedBy, BLS AG]
Generated description
BLS AG is a major Swiss railway company that operates regional and commuter train services, particularly in and around the canton of Bern.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BLS AG Target entity description: BLS AG is a major Swiss railway company that operates regional and commuter train services, particularly in and around the canton of Bern.
-
A.
Buna-Werke
Buna-Werke was a synthetic rubber and fuel plant operated by IG Farben near Auschwitz, notorious for its use of forced labor from the adjacent Monowitz concentration camp during World War II.
-
B.
Glockner Group
The Glockner Group is a prominent mountain range in the Austrian Central Alps, known for its rugged peaks and extensive glaciation.
-
C.
Bühler
Bühler is a German-language surname borne by various notable individuals across fields such as politics, sports, and academia.
-
D.
BSE Global
BSE Global is the sports and entertainment company that owns and operates the Brooklyn Nets and related properties.
-
E.
Erla Maschinenwerk
Erla Maschinenwerk was a German aircraft manufacturing company best known for producing Messerschmitt fighter planes under license during World War II.
- F. None of above. chosen
Provenance (5 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_69a493af3dc48190adb7263e6e445ea1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b349b3d0819090c58b4fb60c6a1b |
completed | March 1, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7ee0f01ac8190b280829dbc5ef102 |
completed | March 4, 2026, 8:32 a.m. |
| NEDg | Description generation | batch_69a7f45b5b808190906419754d355feb |
completed | March 4, 2026, 8:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7f50a2a108190b2748c7e9bba3e06 |
completed | March 4, 2026, 9:02 a.m. |
Created at: March 1, 2026, 7:40 p.m.