Triple
T7875854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madrisa |
E182848
|
entity |
| Predicate | accessibleFrom |
P1985
|
FINISHED |
| Object |
Klosters Dorf
Klosters Dorf is a small Swiss Alpine village in the canton of Graubünden, known as a gateway to the nearby Madrisa ski and hiking area.
|
E701558
|
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: Klosters Dorf | Statement: [Madrisa, accessibleFrom, Klosters Dorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Klosters Dorf Context triple: [Madrisa, accessibleFrom, Klosters Dorf]
-
A.
Waldegg
Waldegg is a locality in Switzerland situated along the route of the A3 motorway.
-
B.
Gimmelwald
Gimmelwald is a small, traditional Swiss alpine village known for its dramatic mountain scenery and tranquil, car-free atmosphere in the Bernese Oberland.
-
C.
Mittersill
Mittersill is a small town in the Austrian state of Salzburg, known for its Alpine setting in the Hohe Tauern region.
-
D.
Kandersteg
Kandersteg is a Swiss mountain village and popular tourist resort known for its scenic alpine landscapes, hiking trails, and access to Lake Oeschinen.
-
E.
Arnegg
Arnegg is a village and district of the municipality of Blaustein in the Alb-Donau district of Baden-Württemberg, Germany.
- 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: Klosters Dorf Triple: [Madrisa, accessibleFrom, Klosters Dorf]
Generated description
Klosters Dorf is a small Swiss Alpine village in the canton of Graubünden, known as a gateway to the nearby Madrisa ski and hiking area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Klosters Dorf Target entity description: Klosters Dorf is a small Swiss Alpine village in the canton of Graubünden, known as a gateway to the nearby Madrisa ski and hiking area.
-
A.
Waldegg
Waldegg is a locality in Switzerland situated along the route of the A3 motorway.
-
B.
Gimmelwald
Gimmelwald is a small, traditional Swiss alpine village known for its dramatic mountain scenery and tranquil, car-free atmosphere in the Bernese Oberland.
-
C.
Mittersill
Mittersill is a small town in the Austrian state of Salzburg, known for its Alpine setting in the Hohe Tauern region.
-
D.
Kandersteg
Kandersteg is a Swiss mountain village and popular tourist resort known for its scenic alpine landscapes, hiking trails, and access to Lake Oeschinen.
-
E.
Arnegg
Arnegg is a village and district of the municipality of Blaustein in the Alb-Donau district of Baden-Württemberg, Germany.
- 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_69ca828a17248190b46defe758bc5ad3 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39aa7ca88190b88a18f6a8971e51 |
completed | March 31, 2026, 3:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b7fef308190bbc74e13f4205192 |
completed | March 31, 2026, 5:28 a.m. |
| NEDg | Description generation | batch_69cb7630b8908190a0b8f4856bceea0a |
completed | March 31, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cbbfb894588190971ade076acdbd5c |
completed | March 31, 2026, 12:36 p.m. |
Created at: March 30, 2026, 4:57 p.m.