Triple
T9146457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Münsing |
E219467
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Degerndorf
Degerndorf is a village and district of the municipality of Münsing in the Bavarian district of Bad Tölz-Wolfratshausen, Germany.
|
E799983
|
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: Degerndorf | Statement: [Münsing, hasSubdivision, Degerndorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Degerndorf Context triple: [Münsing, hasSubdivision, Degerndorf]
-
A.
Burkhardtsdorf
Burkhardtsdorf is a small municipality in the Erzgebirge (Ore Mountains) region of Saxony, eastern Germany.
-
B.
Biendorf
Biendorf is a small municipality in northern Germany notable as the birthplace of German Field Marshal Helmuth von Moltke the Younger.
-
C.
Zirndorf
Zirndorf is a town in the Bavarian region of Germany, known for its proximity to Nuremberg and its mix of residential areas and light industry.
-
D.
Hägendorf
Hägendorf is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Jura mountains.
-
E.
Hubersdorf
Hubersdorf is a small municipality located in the canton of Solothurn in northwestern Switzerland.
- 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: Degerndorf Triple: [Münsing, hasSubdivision, Degerndorf]
Generated description
Degerndorf is a village and district of the municipality of Münsing in the Bavarian district of Bad Tölz-Wolfratshausen, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Degerndorf Target entity description: Degerndorf is a village and district of the municipality of Münsing in the Bavarian district of Bad Tölz-Wolfratshausen, Germany.
-
A.
Burkhardtsdorf
Burkhardtsdorf is a small municipality in the Erzgebirge (Ore Mountains) region of Saxony, eastern Germany.
-
B.
Biendorf
Biendorf is a small municipality in northern Germany notable as the birthplace of German Field Marshal Helmuth von Moltke the Younger.
-
C.
Zirndorf
Zirndorf is a town in the Bavarian region of Germany, known for its proximity to Nuremberg and its mix of residential areas and light industry.
-
D.
Hägendorf
Hägendorf is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Jura mountains.
-
E.
Hubersdorf
Hubersdorf is a small municipality located in the canton of Solothurn in northwestern Switzerland.
- 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_69ca83e121dc81909912bd66953081c5 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca917914c8190b97ca9169bbd1e5e |
completed | April 1, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1100ccc888190a80f4b73b336c1ad |
completed | April 4, 2026, 1:20 p.m. |
| NEDg | Description generation | batch_69d112b25d1081908d47f2732f308b99 |
completed | April 4, 2026, 1:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d113132830819098380755fe8232a7 |
completed | April 4, 2026, 1:33 p.m. |
Created at: March 30, 2026, 7:20 p.m.