Triple
T19565510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | district of Lörrach |
E489570
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Schönenberg
Schönenberg is a small municipality in the district of Lörrach in the state of Baden-Württemberg in southwestern Germany.
|
E1383173
|
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: Schönenberg | Statement: [district of Lörrach, containsMunicipality, Schönenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schönenberg Context triple: [district of Lörrach, containsMunicipality, Schönenberg]
-
A.
Schöneck
Schöneck is a town in the Vogtland region of Saxony, Germany, known for its elevated location and surrounding natural landscapes.
-
B.
Schöngeising
Schöngeising is a small municipality in Upper Bavaria, Germany, known for its rural character and proximity to the city of Munich.
-
C.
Schönteichen
Schönteichen is a small municipality in the Free State of Saxony in eastern Germany.
-
D.
Porschdorf
Porschdorf is a village in Saxony, Germany, that forms part of the spa town and municipality of Bad Schandau in the Saxon Switzerland region.
-
E.
Günsberg
Günsberg is a Swiss municipality located in the canton of Solothurn, known for its scenic setting near the Jura Mountains.
- 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: Schönenberg Triple: [district of Lörrach, containsMunicipality, Schönenberg]
Generated description
Schönenberg is a small municipality in the district of Lörrach in the state of Baden-Württemberg in southwestern Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schönenberg Target entity description: Schönenberg is a small municipality in the district of Lörrach in the state of Baden-Württemberg in southwestern Germany.
-
A.
Schöneck
Schöneck is a town in the Vogtland region of Saxony, Germany, known for its elevated location and surrounding natural landscapes.
-
B.
Schöngeising
Schöngeising is a small municipality in Upper Bavaria, Germany, known for its rural character and proximity to the city of Munich.
-
C.
Schönteichen
Schönteichen is a small municipality in the Free State of Saxony in eastern Germany.
-
D.
Porschdorf
Porschdorf is a village in Saxony, Germany, that forms part of the spa town and municipality of Bad Schandau in the Saxon Switzerland region.
-
E.
Günsberg
Günsberg is a Swiss municipality located in the canton of Solothurn, known for its scenic setting near the Jura Mountains.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63f777cf081909312b46ac09bce7c |
completed | April 20, 2026, 3 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a075787d15c8190b680c74afa7b2220 |
completed | May 15, 2026, 5:27 p.m. |
| NEDg | Description generation | batch_6a0758aeffb081909c100c7509010d54 |
completed | May 15, 2026, 5:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07598fdd908190b3f999b61447f8d2 |
completed | May 15, 2026, 5:36 p.m. |
Created at: April 10, 2026, 1:42 p.m.