Triple
T12055367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | district of Toggenburg |
E287026
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Krummenau
Krummenau is a village in the Toggenburg region of the Swiss canton of St. Gallen, known for its rural alpine setting and traditional Swiss character.
|
E973021
|
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: Krummenau | Statement: [district of Toggenburg, contains, Krummenau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krummenau Context triple: [district of Toggenburg, contains, Krummenau]
-
A.
Weidenau
Weidenau is a district of the city of Siegen in North Rhine-Westphalia, Germany.
-
B.
Schwabhausen
Schwabhausen is a municipality in Bavaria, Germany, known for its rural character and location within the greater Munich metropolitan region.
-
C.
Eichenau
Eichenau is a municipality in Upper Bavaria, Germany, known as a residential suburb west of Munich within the Fürstenfeldbruck district.
-
D.
Tattendorf
Tattendorf is a small wine-growing village and municipality in Lower Austria, known for its vineyards and rural character.
-
E.
Geringswalde
Geringswalde is a small town in the Free State of Saxony in eastern Germany, known for its rural character and location within the Central Saxon region.
- 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: Krummenau Triple: [district of Toggenburg, contains, Krummenau]
Generated description
Krummenau is a village in the Toggenburg region of the Swiss canton of St. Gallen, known for its rural alpine setting and traditional Swiss character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Krummenau Target entity description: Krummenau is a village in the Toggenburg region of the Swiss canton of St. Gallen, known for its rural alpine setting and traditional Swiss character.
-
A.
Weidenau
Weidenau is a district of the city of Siegen in North Rhine-Westphalia, Germany.
-
B.
Schwabhausen
Schwabhausen is a municipality in Bavaria, Germany, known for its rural character and location within the greater Munich metropolitan region.
-
C.
Eichenau
Eichenau is a municipality in Upper Bavaria, Germany, known as a residential suburb west of Munich within the Fürstenfeldbruck district.
-
D.
Tattendorf
Tattendorf is a small wine-growing village and municipality in Lower Austria, known for its vineyards and rural character.
-
E.
Geringswalde
Geringswalde is a small town in the Free State of Saxony in eastern Germany, known for its rural character and location within the Central Saxon region.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90425258c8190ba7b3b837c439253 |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e3ee53c81909c2e4620a12a46da |
completed | May 2, 2026, 3:54 p.m. |
| NEDg | Description generation | batch_69f61f0dc1e08190bfd2452287d534c9 |
completed | May 2, 2026, 3:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f61fa2073881909f683966772bd6b2 |
completed | May 2, 2026, 4 p.m. |
Created at: April 8, 2026, 9:47 p.m.