Triple
T19472972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Feldkirch–Buchs railway |
E487170
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object |
Nendeln
Nendeln is a village in Liechtenstein that serves as a stop on the international railway line connecting Switzerland and Austria.
|
E1392410
|
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: Nendeln | Statement: [Feldkirch–Buchs railway, passesThrough, Nendeln]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nendeln Context triple: [Feldkirch–Buchs railway, passesThrough, Nendeln]
-
A.
Neuenegg
Neuenegg is a Swiss municipality in the canton of Bern, known for its rural character and location near the city of Bern.
-
B.
Fehraltorf
Fehraltorf is a municipality in the canton of Zurich in Switzerland, known for its rural character and proximity to the city of Zurich.
-
C.
Bremgarten
Bremgarten is a historic Swiss town in the canton of Aargau, known for its well-preserved medieval old town and scenic riverside setting.
-
D.
Hergiswil
Hergiswil is a Swiss lakeside municipality known for its scenic setting on Lake Lucerne and its historic glassworks.
-
E.
Leutwil
Leutwil is a small municipality in the canton of Aargau in northern Switzerland, known for its rural character and scenic surroundings.
- 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: Nendeln Triple: [Feldkirch–Buchs railway, passesThrough, Nendeln]
Generated description
Nendeln is a village in Liechtenstein that serves as a stop on the international railway line connecting Switzerland and Austria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nendeln Target entity description: Nendeln is a village in Liechtenstein that serves as a stop on the international railway line connecting Switzerland and Austria.
-
A.
Neuenegg
Neuenegg is a Swiss municipality in the canton of Bern, known for its rural character and location near the city of Bern.
-
B.
Fehraltorf
Fehraltorf is a municipality in the canton of Zurich in Switzerland, known for its rural character and proximity to the city of Zurich.
-
C.
Bremgarten
Bremgarten is a historic Swiss town in the canton of Aargau, known for its well-preserved medieval old town and scenic riverside setting.
-
D.
Hergiswil
Hergiswil is a Swiss lakeside municipality known for its scenic setting on Lake Lucerne and its historic glassworks.
-
E.
Leutwil
Leutwil is a small municipality in the canton of Aargau in northern Switzerland, known for its rural character and scenic surroundings.
- 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_69d8e8d924388190b847cb15bb3d0aff |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633ea604c8190a2feacb709b7ca27 |
completed | April 20, 2026, 2:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07b4d8fa248190b4829baff78cbb64 |
completed | May 16, 2026, 12:05 a.m. |
| NEDg | Description generation | batch_6a07b63ed5788190917f0e90cc333adc |
completed | May 16, 2026, 12:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07b6bb60088190b3473ff2bf7cfde1 |
completed | May 16, 2026, 12:13 a.m. |
Created at: April 10, 2026, 1:39 p.m.