Triple
T10796020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miesbach district |
E254707
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Fischbachau
Fischbachau is a Bavarian municipality in southern Germany, known for its scenic Alpine setting and traditional rural character.
|
E885560
|
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: Fischbachau | Statement: [Miesbach district, contains, Fischbachau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fischbachau Context triple: [Miesbach district, contains, Fischbachau]
-
A.
Pulhof
Pulhof is a residential neighborhood in the Antwerp district of Berchem, Belgium, known for its quiet streets and urban character.
-
B.
Königsbach
Königsbach is a village and wine-growing district that forms part of the town of Neustadt an der Weinstraße in Rhineland-Palatinate, Germany.
-
C.
Schwabhausen
Schwabhausen is a municipality in Bavaria, Germany, known for its rural character and location within the greater Munich metropolitan region.
-
D.
Radeberg
Radeberg is a small town in the German state of Saxony, known for its Radeberger Pilsner brewery and historic town center near Dresden.
-
E.
Essenbach
Essenbach is a municipality in Lower Bavaria, Germany, known for its proximity to the city of Landshut and its mix of rural character and industrial facilities.
- 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: Fischbachau Triple: [Miesbach district, contains, Fischbachau]
Generated description
Fischbachau is a Bavarian municipality in southern Germany, known for its scenic Alpine setting and traditional rural character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fischbachau Target entity description: Fischbachau is a Bavarian municipality in southern Germany, known for its scenic Alpine setting and traditional rural character.
-
A.
Pulhof
Pulhof is a residential neighborhood in the Antwerp district of Berchem, Belgium, known for its quiet streets and urban character.
-
B.
Königsbach
Königsbach is a village and wine-growing district that forms part of the town of Neustadt an der Weinstraße in Rhineland-Palatinate, Germany.
-
C.
Schwabhausen
Schwabhausen is a municipality in Bavaria, Germany, known for its rural character and location within the greater Munich metropolitan region.
-
D.
Radeberg
Radeberg is a small town in the German state of Saxony, known for its Radeberger Pilsner brewery and historic town center near Dresden.
-
E.
Essenbach
Essenbach is a municipality in Lower Bavaria, Germany, known for its proximity to the city of Landshut and its mix of rural character and industrial facilities.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d73332dbfc8190904434846957b618 |
completed | April 9, 2026, 5:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de5654e2c48190a8f078b8164707e2 |
completed | April 14, 2026, 2:59 p.m. |
| NEDg | Description generation | batch_69de5eae7ab88190a0c512cfe61e3458 |
completed | April 14, 2026, 3:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69de60907e1081908405b6d71adbd388 |
completed | April 14, 2026, 3:43 p.m. |
Created at: April 8, 2026, 9:17 p.m.