Triple
T21765307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schmallenberg |
E537268
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object |
Wenne
Wenne is a river in North Rhine-Westphalia, Germany, that flows through the town of Schmallenberg and into the Ruhr.
|
E1501546
|
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: Wenne | Statement: [Schmallenberg, hasRiver, Wenne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wenne Context triple: [Schmallenberg, hasRiver, Wenne]
-
A.
Weenen
Weenen is a small historic town in KwaZulu-Natal, South Africa, known for its agricultural surroundings and proximity to the Weenen Game Reserve.
-
B.
Wannweil
Wannweil is a small municipality in the state of Baden-Württemberg in southwestern Germany.
-
C.
Wanne
Wanne is a village in the municipality of Trois-Ponts in the province of Liège, Belgium, known for its hilly Ardennes landscape and cycling routes.
-
D.
Wanne
Wanne is a district within the German city of Herne in the Ruhr area of North Rhine-Westphalia.
-
E.
Wane
Wane is a lesser-known Central Tano language spoken by a small community in West Africa, likely within the Akan-related language group.
- 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: Wenne Triple: [Schmallenberg, hasRiver, Wenne]
Generated description
Wenne is a river in North Rhine-Westphalia, Germany, that flows through the town of Schmallenberg and into the Ruhr.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wenne Target entity description: Wenne is a river in North Rhine-Westphalia, Germany, that flows through the town of Schmallenberg and into the Ruhr.
-
A.
Weenen
Weenen is a small historic town in KwaZulu-Natal, South Africa, known for its agricultural surroundings and proximity to the Weenen Game Reserve.
-
B.
Wannweil
Wannweil is a small municipality in the state of Baden-Württemberg in southwestern Germany.
-
C.
Wanne
Wanne is a village in the municipality of Trois-Ponts in the province of Liège, Belgium, known for its hilly Ardennes landscape and cycling routes.
-
D.
Wanne
Wanne is a district within the German city of Herne in the Ruhr area of North Rhine-Westphalia.
-
E.
Wane
Wane is a lesser-known Central Tano language spoken by a small community in West Africa, likely within the Akan-related language group.
- 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_69e0c46f5d1c8190bf830409e98464e5 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f031a9a08c8190bc0588ffa0f2da44 |
completed | April 28, 2026, 4:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a3679c8f88190aaf068aa57ad4870 |
completed | May 17, 2026, 9:43 p.m. |
| NEDg | Description generation | batch_6a0a3a85bd6081909ef95bf91b809413 |
completed | May 17, 2026, 10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a3b6799008190839f2d2f50e85457 |
completed | May 17, 2026, 10:04 p.m. |
Created at: April 16, 2026, 6:51 p.m.