Triple
T18548733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schwyzer Alps |
E453309
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Morgartenberg
Morgartenberg is a mountain in the Swiss canton of Schwyz, forming part of the Schwyzer Alps and overlooking the historic Morgarten area near Lake Ägeri.
|
E1336099
|
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: Morgartenberg | Statement: [Schwyzer Alps, contains, Morgartenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morgartenberg Context triple: [Schwyzer Alps, contains, Morgartenberg]
-
A.
Bermaringen
Bermaringen is a village and district within the municipality of Blaustein in the Alb-Donau region of Baden-Württemberg, Germany.
-
B.
Mergentheim
Mergentheim is a historic town in southern Germany best known as the former main seat of the Teutonic Order and for its well-preserved medieval and baroque architecture.
-
C.
Meinisberg
Meinisberg is a small municipality in the canton of Bern in Switzerland, situated near the city of Biel/Bienne.
-
D.
Breiberge
Breiberge is a hill or small mountain located within Germany’s Siebengebirge range, a volcanic upland near the Rhine River.
-
E.
Brackenberg
Brackenberg is an early recorded historical name for the Brocken, the highest peak in Germany’s Harz Mountains.
- 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: Morgartenberg Triple: [Schwyzer Alps, contains, Morgartenberg]
Generated description
Morgartenberg is a mountain in the Swiss canton of Schwyz, forming part of the Schwyzer Alps and overlooking the historic Morgarten area near Lake Ägeri.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Morgartenberg Target entity description: Morgartenberg is a mountain in the Swiss canton of Schwyz, forming part of the Schwyzer Alps and overlooking the historic Morgarten area near Lake Ägeri.
-
A.
Bermaringen
Bermaringen is a village and district within the municipality of Blaustein in the Alb-Donau region of Baden-Württemberg, Germany.
-
B.
Mergentheim
Mergentheim is a historic town in southern Germany best known as the former main seat of the Teutonic Order and for its well-preserved medieval and baroque architecture.
-
C.
Meinisberg
Meinisberg is a small municipality in the canton of Bern in Switzerland, situated near the city of Biel/Bienne.
-
D.
Breiberge
Breiberge is a hill or small mountain located within Germany’s Siebengebirge range, a volcanic upland near the Rhine River.
-
E.
Brackenberg
Brackenberg is an early recorded historical name for the Brocken, the highest peak in Germany’s Harz Mountains.
- 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_69d8d388b0c881908e610a1c45b52640 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e534be2298819095f637065fc2724e |
completed | April 19, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05170b769c8190947e6208a974b642 |
completed | May 14, 2026, 12:27 a.m. |
| NEDg | Description generation | batch_6a05185f550081909a284d833f992da4 |
completed | May 14, 2026, 12:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05190b081481909af7b7aec70d9646 |
completed | May 14, 2026, 12:36 a.m. |
Created at: April 10, 2026, 11:38 a.m.