Triple
T14445667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belvedere on the Klausberg |
E358198
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object |
Klausberg
Klausberg is a mountain in the Italian Alps known for its scenic viewpoints, including the historic Belvedere on the Klausberg.
|
E1101641
|
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: Klausberg | Statement: [Belvedere on the Klausberg, locatedOn, Klausberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Klausberg Context triple: [Belvedere on the Klausberg, locatedOn, Klausberg]
-
A.
Skaaren
Skaaren is a surname most notably associated with Warren Skaaren, an American screenwriter and film producer.
-
B.
Valberg
Valberg is a popular ski resort village in the southern French Alps known for its family-friendly slopes and sunny Mediterranean-alpine climate.
-
C.
Valberg
Valberg is a small coastal village located on the island of Vestvågøy in Norway’s Lofoten archipelago.
-
D.
Mogelsberg
Mogelsberg is a village in the Toggenburg region of the Swiss canton of St. Gallen, known for its rural character and scenic pre-Alpine surroundings.
-
E.
Mariaberget
Mariaberget is a historic, picturesque area on the western side of Södermalm in central Stockholm, known for its well-preserved old buildings and panoramic views over the city and Lake Mälaren.
- 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: Klausberg Triple: [Belvedere on the Klausberg, locatedOn, Klausberg]
Generated description
Klausberg is a mountain in the Italian Alps known for its scenic viewpoints, including the historic Belvedere on the Klausberg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Klausberg Target entity description: Klausberg is a mountain in the Italian Alps known for its scenic viewpoints, including the historic Belvedere on the Klausberg.
-
A.
Skaaren
Skaaren is a surname most notably associated with Warren Skaaren, an American screenwriter and film producer.
-
B.
Valberg
Valberg is a popular ski resort village in the southern French Alps known for its family-friendly slopes and sunny Mediterranean-alpine climate.
-
C.
Valberg
Valberg is a small coastal village located on the island of Vestvågøy in Norway’s Lofoten archipelago.
-
D.
Mogelsberg
Mogelsberg is a village in the Toggenburg region of the Swiss canton of St. Gallen, known for its rural character and scenic pre-Alpine surroundings.
-
E.
Mariaberget
Mariaberget is a historic, picturesque area on the western side of Södermalm in central Stockholm, known for its well-preserved old buildings and panoramic views over the city and Lake Mälaren.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de915e76f481909fe9462f964b5b1c |
completed | April 14, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd648d8904819084d720a0fd2ddb4b |
completed | May 8, 2026, 4:20 a.m. |
| NEDg | Description generation | batch_69fd69a2ff888190a46761a10d9aaf25 |
completed | May 8, 2026, 4:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd69f5fc888190aea304dc59e8f725 |
completed | May 8, 2026, 4:43 a.m. |
Created at: April 10, 2026, 1:19 a.m.