Triple
T11744086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aargau |
E279228
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Wohlen
Wohlen is a municipality and regional center in the Swiss canton of Aargau, known for its industrial history and role as a local economic hub.
|
E945299
|
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: Wohlen | Statement: [Aargau, contains, Wohlen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wohlen Context triple: [Aargau, contains, Wohlen]
-
A.
Wüllen
Wüllen is a district of the town of Ahaus in North Rhine-Westphalia, Germany, known for its rural character within the Münsterland region.
-
B.
Riedlingen
Riedlingen is a small historic town in the state of Baden-Württemberg in southern Germany, known for its well-preserved medieval old town on the Danube River.
-
C.
Wohlen bei Bern
Wohlen bei Bern is a municipality in the canton of Bern, Switzerland, situated just north of the city of Bern within its metropolitan region.
-
D.
Reigoldswil
Reigoldswil is a municipality in the canton of Basel-Landschaft in northwestern Switzerland, known as a gateway to the Jura hills and local hiking areas.
-
E.
Faulensee
Faulensee is a lakeside village in the Swiss canton of Bern, situated on the southern shore of Lake Thun and known for its scenic Alpine setting.
- 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: Wohlen Triple: [Aargau, contains, Wohlen]
Generated description
Wohlen is a municipality and regional center in the Swiss canton of Aargau, known for its industrial history and role as a local economic hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wohlen Target entity description: Wohlen is a municipality and regional center in the Swiss canton of Aargau, known for its industrial history and role as a local economic hub.
-
A.
Wüllen
Wüllen is a district of the town of Ahaus in North Rhine-Westphalia, Germany, known for its rural character within the Münsterland region.
-
B.
Riedlingen
Riedlingen is a small historic town in the state of Baden-Württemberg in southern Germany, known for its well-preserved medieval old town on the Danube River.
-
C.
Wohlen bei Bern
Wohlen bei Bern is a municipality in the canton of Bern, Switzerland, situated just north of the city of Bern within its metropolitan region.
-
D.
Reigoldswil
Reigoldswil is a municipality in the canton of Basel-Landschaft in northwestern Switzerland, known as a gateway to the Jura hills and local hiking areas.
-
E.
Faulensee
Faulensee is a lakeside village in the Swiss canton of Bern, situated on the southern shore of Lake Thun and known for its scenic Alpine setting.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4f2a38c8190a682d8dae1ab9415 |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f0902f8c448190a71512353788ef09 |
completed | April 28, 2026, 10:47 a.m. |
| NEDg | Description generation | batch_69f0bd36673881908530b68e496c3d2e |
completed | April 28, 2026, 1:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f0eec1f5d081908624fe2a93995fe5 |
completed | April 28, 2026, 5:30 p.m. |
Created at: April 8, 2026, 9:41 p.m.