Triple
T5125746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bern–Lucerne railway line |
E115578
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object |
Wolhusen
Wolhusen is a municipality in the canton of Lucerne in central Switzerland, known as a regional transport hub and gateway to the Entlebuch region.
|
E495747
|
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: Wolhusen | Statement: [Bern–Lucerne railway line, passesThrough, Wolhusen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wolhusen Context triple: [Bern–Lucerne railway line, passesThrough, Wolhusen]
-
A.
Volketswil
Volketswil is a municipality in the canton of Zurich in Switzerland, known for its residential character and proximity to the city of Zurich.
-
B.
Worb
Worb is a municipality in the canton of Bern in Switzerland, known for its historic village center and proximity to the city of Bern.
-
C.
Wilderswil
Wilderswil is a picturesque Swiss village in the Bernese Oberland, known as a gateway to the Jungfrau region and a base for hiking and mountain excursions.
-
D.
Göschenen
Göschenen is a Swiss mountain village and railway junction in the canton of Uri, known as a gateway to the Gotthard region.
-
E.
Rüthen
Rüthen is a small historic town in North Rhine-Westphalia, Germany, known for its medieval architecture and location in the scenic Sauerland region.
- 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: Wolhusen Triple: [Bern–Lucerne railway line, passesThrough, Wolhusen]
Generated description
Wolhusen is a municipality in the canton of Lucerne in central Switzerland, known as a regional transport hub and gateway to the Entlebuch region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wolhusen Target entity description: Wolhusen is a municipality in the canton of Lucerne in central Switzerland, known as a regional transport hub and gateway to the Entlebuch region.
-
A.
Volketswil
Volketswil is a municipality in the canton of Zurich in Switzerland, known for its residential character and proximity to the city of Zurich.
-
B.
Worb
Worb is a municipality in the canton of Bern in Switzerland, known for its historic village center and proximity to the city of Bern.
-
C.
Wilderswil
Wilderswil is a picturesque Swiss village in the Bernese Oberland, known as a gateway to the Jungfrau region and a base for hiking and mountain excursions.
-
D.
Göschenen
Göschenen is a Swiss mountain village and railway junction in the canton of Uri, known as a gateway to the Gotthard region.
-
E.
Rüthen
Rüthen is a small historic town in North Rhine-Westphalia, Germany, known for its medieval architecture and location in the scenic Sauerland region.
- 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_69bd4442ade0819087b9461f892b206b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd78072b8c81908b5ac3b231f04136 |
completed | March 20, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bec4bb52fc8190b4c0cd6bc367e8eb |
completed | March 21, 2026, 4:18 p.m. |
| NEDg | Description generation | batch_69bec562d0508190851b5a3307e9405b |
completed | March 21, 2026, 4:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bec6478b848190bc09d7f6485681b4 |
completed | March 21, 2026, 4:24 p.m. |
Created at: March 20, 2026, 1:42 p.m.