Triple
T19009494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oberaargau administrative district |
E465180
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Bettenhausen
Bettenhausen is a small municipality and village located in the Oberaargau region of the canton of Bern in Switzerland.
|
E1373150
|
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: Bettenhausen | Statement: [Oberaargau administrative district, containsSettlement, Bettenhausen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bettenhausen Context triple: [Oberaargau administrative district, containsSettlement, Bettenhausen]
-
A.
Balzhausen
Balzhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
-
B.
Leutershausen
Leutershausen is a historic small town in Bavaria, Germany, known for its well-preserved medieval character and traditional Franconian architecture.
-
C.
Hettenshausen
Hettenshausen is a municipality in the district of Pfaffenhofen an der Ilm in Bavaria, Germany.
-
D.
Helmarshausen
Helmarshausen is a historic district of the spa town Bad Karlshafen in northern Hesse, Germany, known for its medieval heritage and former Benedictine monastery.
-
E.
Deisenhausen
Deisenhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
- 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: Bettenhausen Triple: [Oberaargau administrative district, containsSettlement, Bettenhausen]
Generated description
Bettenhausen is a small municipality and village located in the Oberaargau region of the canton of Bern in Switzerland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bettenhausen Target entity description: Bettenhausen is a small municipality and village located in the Oberaargau region of the canton of Bern in Switzerland.
-
A.
Balzhausen
Balzhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
-
B.
Leutershausen
Leutershausen is a historic small town in Bavaria, Germany, known for its well-preserved medieval character and traditional Franconian architecture.
-
C.
Hettenshausen
Hettenshausen is a municipality in the district of Pfaffenhofen an der Ilm in Bavaria, Germany.
-
D.
Helmarshausen
Helmarshausen is a historic district of the spa town Bad Karlshafen in northern Hesse, Germany, known for its medieval heritage and former Benedictine monastery.
-
E.
Deisenhausen
Deisenhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
- 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_6a072b69ded88190a1d8515e1156ad97 |
completed | May 15, 2026, 2:19 p.m. |
| NEDg | Description generation | batch_6a072cf1fd2081909ce4ac24e6e0da30 |
completed | May 15, 2026, 2:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a072d40295c81909c69e763f0ade5bd |
completed | May 15, 2026, 2:27 p.m. |
Created at: April 10, 2026, 12:02 p.m.