Triple
T17147813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ravensburg district |
E416136
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object |
Schussen
The Schussen is a river in the German state of Baden-Württemberg that flows through the Upper Swabia region before emptying into Lake Constance.
|
E1252288
|
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: Schussen | Statement: [Ravensburg district, locatedOnRiver, Schussen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schussen Context triple: [Ravensburg district, locatedOnRiver, Schussen]
-
A.
Schieren
Schieren is a small commune and town located in central Luxembourg.
-
B.
Gasselte
Gasselte is a village in the Dutch province of Drenthe, known for its surrounding forests, heathlands, and recreational lakes.
-
C.
Schaal
Schaal is a surname most notably associated with American actress Wendy Schaal, known for her work in film and television voice acting.
-
D.
Schüpfen
Schüpfen is a municipality in the canton of Bern in Switzerland, located in the Seeland administrative district.
-
E.
Hompelvoet
Hompelvoet is a small uninhabited island in the Grevelingen lake in the southwestern Netherlands, known for its protected natural habitats and birdlife.
- 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: Schussen Triple: [Ravensburg district, locatedOnRiver, Schussen]
Generated description
The Schussen is a river in the German state of Baden-Württemberg that flows through the Upper Swabia region before emptying into Lake Constance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schussen Target entity description: The Schussen is a river in the German state of Baden-Württemberg that flows through the Upper Swabia region before emptying into Lake Constance.
-
A.
Schieren
Schieren is a small commune and town located in central Luxembourg.
-
B.
Gasselte
Gasselte is a village in the Dutch province of Drenthe, known for its surrounding forests, heathlands, and recreational lakes.
-
C.
Schaal
Schaal is a surname most notably associated with American actress Wendy Schaal, known for her work in film and television voice acting.
-
D.
Schüpfen
Schüpfen is a municipality in the canton of Bern in Switzerland, located in the Seeland administrative district.
-
E.
Hompelvoet
Hompelvoet is a small uninhabited island in the Grevelingen lake in the southwestern Netherlands, known for its protected natural habitats and birdlife.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f404f0e88190b7ac9ac523fdc7da |
completed | April 18, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a014158ed8c8190adb3c03c8a114a59 |
completed | May 11, 2026, 2:39 a.m. |
| NEDg | Description generation | batch_6a01425d2c20819084c0fa3bd413ebfa |
completed | May 11, 2026, 2:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0142dbb6f48190a631a05c5bada0e4 |
completed | May 11, 2026, 2:45 a.m. |
Created at: April 10, 2026, 5:36 a.m.