Triple
T23158780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kreis Freiberg |
E578521
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Oberschöna
Oberschöna is a municipality in the Free State of Saxony in eastern Germany.
|
E1574305
|
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: Oberschöna | Statement: [Kreis Freiberg, contains, Oberschöna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oberschöna Context triple: [Kreis Freiberg, contains, Oberschöna]
-
A.
Weilersbach
Weilersbach is a small municipality in the Forchheim district of Bavaria, Germany, known for its rural character and proximity to the Franconian Switzerland region.
-
B.
Obersüßbach
Obersüßbach is a small municipality in the Landshut district of Lower Bavaria in southeastern Germany.
-
C.
Obergriesbach
Obergriesbach is a small municipality in the district of Aichach-Friedberg in the Bavarian region of Germany.
-
D.
Oberbalbach
Oberbalbach is a village-sized district of the town Lauda-Königshofen in the Main-Tauber region of Baden-Württemberg, Germany.
-
E.
Sundlauenen
Sundlauenen is a small lakeside village in the canton of Bern, Switzerland, situated on the shores of Lake Thun amid steep forested slopes and popular hiking and sightseeing areas.
- 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: Oberschöna Triple: [Kreis Freiberg, contains, Oberschöna]
Generated description
Oberschöna is a municipality in the Free State of Saxony in eastern Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oberschöna Target entity description: Oberschöna is a municipality in the Free State of Saxony in eastern Germany.
-
A.
Weilersbach
Weilersbach is a small municipality in the Forchheim district of Bavaria, Germany, known for its rural character and proximity to the Franconian Switzerland region.
-
B.
Obersüßbach
Obersüßbach is a small municipality in the Landshut district of Lower Bavaria in southeastern Germany.
-
C.
Obergriesbach
Obergriesbach is a small municipality in the district of Aichach-Friedberg in the Bavarian region of Germany.
-
D.
Oberbalbach
Oberbalbach is a village-sized district of the town Lauda-Königshofen in the Main-Tauber region of Baden-Württemberg, Germany.
-
E.
Sundlauenen
Sundlauenen is a small lakeside village in the canton of Bern, Switzerland, situated on the shores of Lake Thun amid steep forested slopes and popular hiking and sightseeing areas.
- 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_69e245fc75348190a0288401044c8af8 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18efeddd48190b6d03d2146583dcc |
completed | April 29, 2026, 4:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c30a009a88190ace5fe645f0e9d23 |
completed | May 19, 2026, 9:42 a.m. |
| NEDg | Description generation | batch_6a0c3433083081909b486004ed8ae017 |
completed | May 19, 2026, 9:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c352416508190a08f1d46ef3c4916 |
completed | May 19, 2026, 10:02 a.m. |
Created at: April 17, 2026, 4:02 p.m.