Triple
T17389432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Suze |
E422776
|
entity |
| Predicate | hasNameInGerman |
P22792
|
FINISHED |
| Object |
Schüss
Schüss is the German name for the River Suze, a watercourse flowing through the Jura region of Switzerland.
|
E1266524
|
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: Schüss | Statement: [River Suze, hasNameInGerman, Schüss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schüss Context triple: [River Suze, hasNameInGerman, Schüss]
-
A.
Schmutter
The Schmutter is a river in Bavaria, Germany, known as a regional tributary that flows through the Swabian landscape before joining the Wertach.
-
B.
Tuchlauben
Tuchlauben is a historic street in Vienna’s city center, known for its upscale shops and proximity to major landmarks in the old town.
-
C.
The Schott
The Schott is the popular nickname for Value City Arena, the primary indoor sports and entertainment venue at Ohio State University in Columbus, Ohio.
-
D.
Schaal
Schaal is a surname most notably associated with American actress Wendy Schaal, known for her work in film and television voice acting.
-
E.
Schaub
Schaub is a surname most prominently associated with former NFL quarterback Matt Schaub.
- 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: Schüss Triple: [River Suze, hasNameInGerman, Schüss]
Generated description
Schüss is the German name for the River Suze, a watercourse flowing through the Jura region of Switzerland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schüss Target entity description: Schüss is the German name for the River Suze, a watercourse flowing through the Jura region of Switzerland.
-
A.
Schmutter
The Schmutter is a river in Bavaria, Germany, known as a regional tributary that flows through the Swabian landscape before joining the Wertach.
-
B.
Tuchlauben
Tuchlauben is a historic street in Vienna’s city center, known for its upscale shops and proximity to major landmarks in the old town.
-
C.
The Schott
The Schott is the popular nickname for Value City Arena, the primary indoor sports and entertainment venue at Ohio State University in Columbus, Ohio.
-
D.
Schaal
Schaal is a surname most notably associated with American actress Wendy Schaal, known for her work in film and television voice acting.
-
E.
Schaub
Schaub is a surname most prominently associated with former NFL quarterback Matt Schaub.
- 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a8c718c81909cb20749aaf12897 |
completed | April 19, 2026, 2:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a019ffcfe508190a03907a3c0eafe2c |
completed | May 11, 2026, 9:23 a.m. |
| NEDg | Description generation | batch_6a01a19785508190a759628553297053 |
completed | May 11, 2026, 9:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01a1f98470819086142ef594a8a13f |
completed | May 11, 2026, 9:31 a.m. |
Created at: April 10, 2026, 5:45 a.m.