Triple
T19565512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | district of Lörrach |
E489570
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Böllen
Böllen is a small municipality in the district of Lörrach in the state of Baden-Württemberg in southwestern Germany.
|
E1383174
|
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: Böllen | Statement: [district of Lörrach, containsMunicipality, Böllen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Böllen Context triple: [district of Lörrach, containsMunicipality, Böllen]
-
A.
Bad Grönenbach
Bad Grönenbach is a spa town in the Bavarian Allgäu region of southern Germany, known for its health resorts and picturesque rural surroundings.
-
B.
Tuchlauben
Tuchlauben is a historic street in Vienna’s city center, known for its upscale shops and proximity to major landmarks in the old town.
-
C.
Buloburde
Buloburde is a town in central Somalia located in the Hirshabelle State region.
-
D.
Bad Breisig
Bad Breisig is a small spa town on the Rhine River in western Germany, known for its thermal baths and scenic riverside setting.
-
E.
Kröpcke
Kröpcke is a central square and major public transport hub in Hanover, Germany, known as a key meeting point and commercial area in the city center.
- 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: Böllen Triple: [district of Lörrach, containsMunicipality, Böllen]
Generated description
Böllen 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: Böllen Target entity description: Böllen is a small municipality in the district of Lörrach in the state of Baden-Württemberg in southwestern Germany.
-
A.
Bad Grönenbach
Bad Grönenbach is a spa town in the Bavarian Allgäu region of southern Germany, known for its health resorts and picturesque rural surroundings.
-
B.
Tuchlauben
Tuchlauben is a historic street in Vienna’s city center, known for its upscale shops and proximity to major landmarks in the old town.
-
C.
Buloburde
Buloburde is a town in central Somalia located in the Hirshabelle State region.
-
D.
Bad Breisig
Bad Breisig is a small spa town on the Rhine River in western Germany, known for its thermal baths and scenic riverside setting.
-
E.
Kröpcke
Kröpcke is a central square and major public transport hub in Hanover, Germany, known as a key meeting point and commercial area in the city center.
- 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.