Triple
T16124973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aichach-Friedberg |
E391244
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Adelzhausen
Adelzhausen is a small municipality in the district of Aichach-Friedberg in Bavaria, Germany, known for its rural character and proximity to the A8 motorway.
|
E1204696
|
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: Adelzhausen | Statement: [Aichach-Friedberg, hasMunicipality, Adelzhausen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adelzhausen Context triple: [Aichach-Friedberg, hasMunicipality, Adelzhausen]
-
A.
Balzhausen
Balzhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
-
B.
Lamprechtshausen
Lamprechtshausen is a municipality in the Austrian state of Salzburg, known for its rural character and location within the Salzburg-Umgebung region.
-
C.
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.
-
D.
Deisenhausen
Deisenhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
-
E.
Weipertshausen
Weipertshausen is a small locality that forms part of the municipality of Münsing in Bavaria, 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: Adelzhausen Triple: [Aichach-Friedberg, hasMunicipality, Adelzhausen]
Generated description
Adelzhausen is a small municipality in the district of Aichach-Friedberg in Bavaria, Germany, known for its rural character and proximity to the A8 motorway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Adelzhausen Target entity description: Adelzhausen is a small municipality in the district of Aichach-Friedberg in Bavaria, Germany, known for its rural character and proximity to the A8 motorway.
-
A.
Balzhausen
Balzhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
-
B.
Lamprechtshausen
Lamprechtshausen is a municipality in the Austrian state of Salzburg, known for its rural character and location within the Salzburg-Umgebung region.
-
C.
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.
-
D.
Deisenhausen
Deisenhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
-
E.
Weipertshausen
Weipertshausen is a small locality that forms part of the municipality of Münsing in Bavaria, 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2020408a88190bf3dfc893d577c55 |
completed | April 17, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017a2576c8190b5ad8cc7f9ced351 |
completed | May 10, 2026, 5:29 a.m. |
| NEDg | Description generation | batch_6a0019acf8348190be7e30d9e97bea98 |
completed | May 10, 2026, 5:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a001a5ee5d88190ae5205082fc57317 |
completed | May 10, 2026, 5:40 a.m. |
Created at: April 10, 2026, 5 a.m.