Triple
T16460180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bolligen |
E399785
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object |
Krauchthal
Krauchthal is a small Swiss municipality in the canton of Bern, known for its rural character and location in the Emmental region.
|
E1244155
|
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: Krauchthal | Statement: [Bolligen, hasNeighboringMunicipality, Krauchthal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krauchthal Context triple: [Bolligen, hasNeighboringMunicipality, Krauchthal]
-
A.
Kretzschau
Kretzschau is a small municipality in the German state of Saxony-Anhalt that forms part of the wider Leipzig metropolitan area.
-
B.
Teutschenthal
Teutschenthal is a municipality in the Saalekreis district of Saxony-Anhalt in central Germany.
-
C.
Geiersthal
Geiersthal is a small municipality in the Bavarian Forest region of southeastern Germany.
-
D.
Tussenhausen
Tussenhausen is a municipality in the district of Unterallgäu in Bavaria, Germany, known for its rural character and small villages such as Mattsies.
-
E.
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.
- 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: Krauchthal Triple: [Bolligen, hasNeighboringMunicipality, Krauchthal]
Generated description
Krauchthal is a small Swiss municipality in the canton of Bern, known for its rural character and location in the Emmental region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Krauchthal Target entity description: Krauchthal is a small Swiss municipality in the canton of Bern, known for its rural character and location in the Emmental region.
-
A.
Kretzschau
Kretzschau is a small municipality in the German state of Saxony-Anhalt that forms part of the wider Leipzig metropolitan area.
-
B.
Teutschenthal
Teutschenthal is a municipality in the Saalekreis district of Saxony-Anhalt in central Germany.
-
C.
Geiersthal
Geiersthal is a small municipality in the Bavarian Forest region of southeastern Germany.
-
D.
Tussenhausen
Tussenhausen is a municipality in the district of Unterallgäu in Bavaria, Germany, known for its rural character and small villages such as Mattsies.
-
E.
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.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32d80e66c8190b2b3199efe9cfaa1 |
completed | April 18, 2026, 7:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dbf46cf881909f6c16f7a3d9a535 |
completed | May 10, 2026, 7:26 p.m. |
| NEDg | Description generation | batch_6a0114d33cac819083d8e542ea5bc274 |
completed | May 10, 2026, 11:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0115c583608190bf07ac205399f253 |
completed | May 10, 2026, 11:33 p.m. |
Created at: April 10, 2026, 5:10 a.m.