Triple
T19009452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oberaargau administrative district |
E465180
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Aarwangen
Aarwangen is a municipality in the canton of Bern in Switzerland, known for its historic castle and location along the Aare River.
|
E1360641
|
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: Aarwangen | Statement: [Oberaargau administrative district, containsSettlement, Aarwangen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aarwangen Context triple: [Oberaargau administrative district, containsSettlement, Aarwangen]
-
A.
Neulengbach
Neulengbach is a small town in Lower Austria known for its historic center and its location within the Vienna Woods region.
-
B.
Oberarth
Oberarth is a village and locality within the municipality of Arth in the canton of Schwyz, Switzerland, situated near Lake Zug and the surrounding pre-Alpine region.
-
C.
Reichstett
Reichstett is a small commune in northeastern France, situated near Strasbourg in the Grand Est region.
-
D.
Auhof
Auhof is a residential and commercial area in Vienna’s 13th district, Hietzing, known for its housing estates and shopping facilities on the western edge of the city.
-
E.
Arnstorf
Arnstorf is a market town in the district of Rottal-Inn in Lower Bavaria, Germany, known for its rural character and regional commerce.
- 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: Aarwangen Triple: [Oberaargau administrative district, containsSettlement, Aarwangen]
Generated description
Aarwangen is a municipality in the canton of Bern in Switzerland, known for its historic castle and location along the Aare River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aarwangen Target entity description: Aarwangen is a municipality in the canton of Bern in Switzerland, known for its historic castle and location along the Aare River.
-
A.
Neulengbach
Neulengbach is a small town in Lower Austria known for its historic center and its location within the Vienna Woods region.
-
B.
Oberarth
Oberarth is a village and locality within the municipality of Arth in the canton of Schwyz, Switzerland, situated near Lake Zug and the surrounding pre-Alpine region.
-
C.
Reichstett
Reichstett is a small commune in northeastern France, situated near Strasbourg in the Grand Est region.
-
D.
Auhof
Auhof is a residential and commercial area in Vienna’s 13th district, Hietzing, known for its housing estates and shopping facilities on the western edge of the city.
-
E.
Arnstorf
Arnstorf is a market town in the district of Rottal-Inn in Lower Bavaria, Germany, known for its rural character and regional commerce.
- 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_69d8dd025c188190a1d81f5b4ec7e2c6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6a72aa88190a04f13cd14ee77d4 |
completed | April 20, 2026, 7:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a06f23b6be481908636b5b48066364d |
completed | May 15, 2026, 10:15 a.m. |
| NEDg | Description generation | batch_6a06f303c4fc8190a9a972dd1561bc84 |
completed | May 15, 2026, 10:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a06f4039ca881908679e5da604eea50 |
completed | May 15, 2026, 10:22 a.m. |
Created at: April 10, 2026, 12:02 p.m.