Triple
T23359091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arlberg Pass |
E593133
|
entity |
| Predicate | nearestSettlement |
P3883
|
FINISHED |
| Object |
Langen am Arlberg
Langen am Arlberg is a small Austrian village in the Tyrolean Alps known as a key railway and transport hub for the Arlberg region.
|
E1582614
|
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: Langen am Arlberg | Statement: [Arlberg Pass, nearestSettlement, Langen am Arlberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Langen am Arlberg Context triple: [Arlberg Pass, nearestSettlement, Langen am Arlberg]
-
A.
Zürs am Arlberg
Zürs am Arlberg is a renowned Austrian alpine ski resort village in the Arlberg region, known for its upscale accommodations, extensive ski terrain, and reliable snow conditions.
-
B.
Niederalm
Niederalm is a locality within the municipality of Anif in the Austrian state of Salzburg.
-
C.
Hochgurgl
Hochgurgl is a high-altitude ski resort village in the Ötztal Alps of Tyrol, Austria, known for its extensive slopes and reliable snow conditions.
-
D.
Adlkofen
Adlkofen is a municipality in Lower Bavaria, Germany, situated in the rural region surrounding the city of Landshut.
-
E.
Schruns
Schruns is a small alpine town and popular ski resort in the Montafon valley of Vorarlberg, western Austria.
- 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: Langen am Arlberg Triple: [Arlberg Pass, nearestSettlement, Langen am Arlberg]
Generated description
Langen am Arlberg is a small Austrian village in the Tyrolean Alps known as a key railway and transport hub for the Arlberg region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Langen am Arlberg Target entity description: Langen am Arlberg is a small Austrian village in the Tyrolean Alps known as a key railway and transport hub for the Arlberg region.
-
A.
Zürs am Arlberg
Zürs am Arlberg is a renowned Austrian alpine ski resort village in the Arlberg region, known for its upscale accommodations, extensive ski terrain, and reliable snow conditions.
-
B.
Niederalm
Niederalm is a locality within the municipality of Anif in the Austrian state of Salzburg.
-
C.
Hochgurgl
Hochgurgl is a high-altitude ski resort village in the Ötztal Alps of Tyrol, Austria, known for its extensive slopes and reliable snow conditions.
-
D.
Adlkofen
Adlkofen is a municipality in Lower Bavaria, Germany, situated in the rural region surrounding the city of Landshut.
-
E.
Schruns
Schruns is a small alpine town and popular ski resort in the Montafon valley of Vorarlberg, western Austria.
- 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_69e25d24d2a4819092e6ede74c2a918d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19a1a39988190b4b4993b80d5a5f6 |
completed | April 29, 2026, 5:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c5dd385948190940cf5b878e54002 |
completed | May 19, 2026, 12:55 p.m. |
| NEDg | Description generation | batch_6a0c5fa0ae848190a23b0c8c16345c26 |
completed | May 19, 2026, 1:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c604cc84c8190946e2a35e0f736ce |
completed | May 19, 2026, 1:06 p.m. |
Created at: April 17, 2026, 5:29 p.m.