Triple
T9540603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Straubing-Bogen |
E230145
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Wiesenfelden
Wiesenfelden is a municipality in the Straubing-Bogen district of Lower Bavaria in southeastern Germany.
|
E807516
|
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: Wiesenfelden | Statement: [Straubing-Bogen, contains, Wiesenfelden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wiesenfelden Context triple: [Straubing-Bogen, contains, Wiesenfelden]
-
A.
Glattfelden
Glattfelden is a municipality in the canton of Zurich in northern Switzerland, known for its scenic setting along the Glatt River and its well-preserved historic village center.
-
B.
Weißkirchen
Weißkirchen is a district of the town Oberursel in the Taunus region of Hesse, Germany, characterized by its suburban residential setting near Frankfurt.
-
C.
Oberwaltersdorf
Oberwaltersdorf is a municipality in Lower Austria known for its residential character, proximity to Vienna, and local wine-growing and leisure facilities.
-
D.
Wintersdorf
Wintersdorf is a village and district of the town of Rastatt in the state of Baden-Württemberg in southwestern Germany.
-
E.
Ochsenfeld
Ochsenfeld is a German surname most notably borne by physicist Robert Ochsenfeld, known for his work on superconductivity.
- 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: Wiesenfelden Triple: [Straubing-Bogen, contains, Wiesenfelden]
Generated description
Wiesenfelden is a municipality in the Straubing-Bogen district of Lower Bavaria in southeastern Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wiesenfelden Target entity description: Wiesenfelden is a municipality in the Straubing-Bogen district of Lower Bavaria in southeastern Germany.
-
A.
Glattfelden
Glattfelden is a municipality in the canton of Zurich in northern Switzerland, known for its scenic setting along the Glatt River and its well-preserved historic village center.
-
B.
Weißkirchen
Weißkirchen is a district of the town Oberursel in the Taunus region of Hesse, Germany, characterized by its suburban residential setting near Frankfurt.
-
C.
Oberwaltersdorf
Oberwaltersdorf is a municipality in Lower Austria known for its residential character, proximity to Vienna, and local wine-growing and leisure facilities.
-
D.
Wintersdorf
Wintersdorf is a village and district of the town of Rastatt in the state of Baden-Württemberg in southwestern Germany.
-
E.
Ochsenfeld
Ochsenfeld is a German surname most notably borne by physicist Robert Ochsenfeld, known for his work on superconductivity.
- 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_69ca847b1b3081908f72bc932c17cc41 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98e695948190ab107fff38c57de7 |
completed | April 1, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d15278efd4819091e707aabd9a59d7 |
completed | April 4, 2026, 6:03 p.m. |
| NEDg | Description generation | batch_69d153d59844819086a0f50e6a7624b2 |
completed | April 4, 2026, 6:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1546a503c81908edc9588adabc172 |
completed | April 4, 2026, 6:11 p.m. |
Created at: March 30, 2026, 8:01 p.m.