Triple
T22831141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bussnang |
E565802
|
entity |
| Predicate | neighboringMunicipality |
P17964
|
FINISHED |
| Object |
Wuppenau
Wuppenau is a small rural municipality in the canton of Thurgau in northeastern Switzerland.
|
E1560682
|
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: Wuppenau | Statement: [Bussnang, neighboringMunicipality, Wuppenau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wuppenau Context triple: [Bussnang, neighboringMunicipality, Wuppenau]
-
A.
Oppenweiler
Oppenweiler is a small municipality in the German state of Baden-Württemberg, situated in the Rems-Murr district near the city of Stuttgart.
-
B.
Breitenau
Breitenau is a municipality in the Neunkirchen District of Lower Austria, known for its rural character and scenic Alpine foothill surroundings.
-
C.
Waldenburg
Waldenburg is a historic small town in the Hohenlohe region of Baden-Württemberg, Germany, known for its hilltop setting and medieval castle.
-
D.
Waldenburg
Waldenburg is a small historic town in the German state of Saxony, known for its pottery tradition and picturesque setting along the Zwickauer Mulde river.
-
E.
Bergneustadt
Bergneustadt is a small town in North Rhine-Westphalia, Germany, known for its location in the hilly Oberbergischer Kreis region and its traditional half-timbered architecture.
- 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: Wuppenau Triple: [Bussnang, neighboringMunicipality, Wuppenau]
Generated description
Wuppenau is a small rural municipality in the canton of Thurgau in northeastern Switzerland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wuppenau Target entity description: Wuppenau is a small rural municipality in the canton of Thurgau in northeastern Switzerland.
-
A.
Oppenweiler
Oppenweiler is a small municipality in the German state of Baden-Württemberg, situated in the Rems-Murr district near the city of Stuttgart.
-
B.
Breitenau
Breitenau is a municipality in the Neunkirchen District of Lower Austria, known for its rural character and scenic Alpine foothill surroundings.
-
C.
Waldenburg
Waldenburg is a historic small town in the Hohenlohe region of Baden-Württemberg, Germany, known for its hilltop setting and medieval castle.
-
D.
Waldenburg
Waldenburg is a small historic town in the German state of Saxony, known for its pottery tradition and picturesque setting along the Zwickauer Mulde river.
-
E.
Bergneustadt
Bergneustadt is a small town in North Rhine-Westphalia, Germany, known for its location in the hilly Oberbergischer Kreis region and its traditional half-timbered architecture.
- 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_69e24585ab1c81909b2b5065d15805d5 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e2bcad8819091f237fd2273a20c |
completed | April 29, 2026, 3:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bb9b004d48190b2e6ce9f62059448 |
completed | May 19, 2026, 1:15 a.m. |
| NEDg | Description generation | batch_6a0bbb38da508190bc1d9bc8538cdbe2 |
completed | May 19, 2026, 1:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bbc2a2244819090ead891e1a866ed |
completed | May 19, 2026, 1:26 a.m. |
Created at: April 17, 2026, 3:34 p.m.