Triple
T9208413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | District of Weilheim-Schongau |
E221046
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Apfeldorf
Apfeldorf is a small municipality in the district of Weilheim-Schongau in Bavaria, Germany, known for its rural character and scenic Upper Bavarian landscape.
|
E837411
|
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: Apfeldorf | Statement: [District of Weilheim-Schongau, containsMunicipality, Apfeldorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apfeldorf Context triple: [District of Weilheim-Schongau, containsMunicipality, Apfeldorf]
-
A.
Pfaffendorf
Pfaffendorf is a district of the German city of Koblenz, situated on the east bank of the Rhine River.
-
B.
Dierdorf
Dierdorf is a surname most prominently associated with former American football player and sportscaster Dan Dierdorf.
-
C.
Biendorf
Biendorf is a small municipality in northern Germany notable as the birthplace of German Field Marshal Helmuth von Moltke the Younger.
-
D.
Friesdorf
Friesdorf is a residential subdistrict of the Bonn borough Bad Godesberg in western Germany.
-
E.
Pottendorf
Pottendorf is a market town in Lower Austria known for its historic castle and location within the Baden district.
- 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: Apfeldorf Triple: [District of Weilheim-Schongau, containsMunicipality, Apfeldorf]
Generated description
Apfeldorf is a small municipality in the district of Weilheim-Schongau in Bavaria, Germany, known for its rural character and scenic Upper Bavarian landscape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Apfeldorf Target entity description: Apfeldorf is a small municipality in the district of Weilheim-Schongau in Bavaria, Germany, known for its rural character and scenic Upper Bavarian landscape.
-
A.
Pfaffendorf
Pfaffendorf is a district of the German city of Koblenz, situated on the east bank of the Rhine River.
-
B.
Dierdorf
Dierdorf is a surname most prominently associated with former American football player and sportscaster Dan Dierdorf.
-
C.
Biendorf
Biendorf is a small municipality in northern Germany notable as the birthplace of German Field Marshal Helmuth von Moltke the Younger.
-
D.
Friesdorf
Friesdorf is a residential subdistrict of the Bonn borough Bad Godesberg in western Germany.
-
E.
Pottendorf
Pottendorf is a market town in Lower Austria known for its historic castle and location within the Baden district.
- 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_69ca83e9d0e081908bdb71097201a06c |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd9b217008190a0ab4971dd4a8899 |
completed | April 1, 2026, 8:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2817858008190b150417f9ef59b48 |
completed | April 5, 2026, 3:36 p.m. |
| NEDg | Description generation | batch_69d2840bb2e881908a7e7a40229769e0 |
completed | April 5, 2026, 3:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2847c9bb881908a6330dfe2c2c1a4 |
completed | April 5, 2026, 3:49 p.m. |
Created at: March 30, 2026, 7:26 p.m.