Triple
T16460060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Köniz |
E399782
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Niederwangen
Niederwangen is a village in the municipality of Köniz in the canton of Bern, Switzerland.
|
E1219191
|
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: Niederwangen | Statement: [Köniz, hasSettlement, Niederwangen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niederwangen Context triple: [Köniz, hasSettlement, Niederwangen]
-
A.
Waldegg
Waldegg is a locality in Switzerland situated along the route of the A3 motorway.
-
B.
Waltershof
Waltershof is an industrial and port district of Hamburg, Germany, located within the borough of Hamburg-Mitte.
-
C.
Oschwand
Oschwand is a small locality in Switzerland known for its association with the Swiss painter Cuno Amiet, who lived and worked there.
-
D.
Niederwerrn
Niederwerrn is a municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany.
-
E.
Untereggen
Untereggen is a small Swiss municipality in the canton of St. Gallen, known for its rural character and location in the country’s northeastern 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: Niederwangen Triple: [Köniz, hasSettlement, Niederwangen]
Generated description
Niederwangen is a village in the municipality of Köniz in the canton of Bern, Switzerland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Niederwangen Target entity description: Niederwangen is a village in the municipality of Köniz in the canton of Bern, Switzerland.
-
A.
Waldegg
Waldegg is a locality in Switzerland situated along the route of the A3 motorway.
-
B.
Waltershof
Waltershof is an industrial and port district of Hamburg, Germany, located within the borough of Hamburg-Mitte.
-
C.
Oschwand
Oschwand is a small locality in Switzerland known for its association with the Swiss painter Cuno Amiet, who lived and worked there.
-
D.
Niederwerrn
Niederwerrn is a municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany.
-
E.
Untereggen
Untereggen is a small Swiss municipality in the canton of St. Gallen, known for its rural character and location in the country’s northeastern 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_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_6a00679ecf4c819096e7f698b81fe25a |
completed | May 10, 2026, 11:10 a.m. |
| NEDg | Description generation | batch_6a0068521c0c819093ddd51aa6f25995 |
completed | May 10, 2026, 11:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0068ab40d08190b8998c8f97bd34a5 |
completed | May 10, 2026, 11:14 a.m. |
Created at: April 10, 2026, 5:10 a.m.