Triple
T19565497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | district of Lörrach |
E489570
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Inzlingen
Inzlingen is a small municipality in the district of Lörrach in the state of Baden-Württemberg in southwestern Germany, near the Swiss border.
|
E1398852
|
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: Inzlingen | Statement: [district of Lörrach, containsMunicipality, Inzlingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inzlingen Context triple: [district of Lörrach, containsMunicipality, Inzlingen]
-
A.
Aidlingen
Aidlingen is a small municipality in the German state of Baden-Württemberg, located southwest of Stuttgart amid the scenic landscapes of the Böblingen region.
-
B.
Altishofen
Altishofen is a municipality in the canton of Lucerne in central Switzerland, situated in the Wigger river valley.
-
C.
Gerlafingen
Gerlafingen is a municipality in the canton of Solothurn in Switzerland, known historically for its steel industry and residential character.
-
D.
Küsnacht
Küsnacht is a picturesque Swiss municipality on the shores of Lake Zurich, known for its affluent residential character and scenic lakeside setting.
-
E.
Steißlingen
Steißlingen is a municipality in the district of Konstanz in the state of Baden-Württemberg in southern Germany.
- 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: Inzlingen Triple: [district of Lörrach, containsMunicipality, Inzlingen]
Generated description
Inzlingen is a small municipality in the district of Lörrach in the state of Baden-Württemberg in southwestern Germany, near the Swiss border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Inzlingen Target entity description: Inzlingen is a small municipality in the district of Lörrach in the state of Baden-Württemberg in southwestern Germany, near the Swiss border.
-
A.
Aidlingen
Aidlingen is a small municipality in the German state of Baden-Württemberg, located southwest of Stuttgart amid the scenic landscapes of the Böblingen region.
-
B.
Altishofen
Altishofen is a municipality in the canton of Lucerne in central Switzerland, situated in the Wigger river valley.
-
C.
Gerlafingen
Gerlafingen is a municipality in the canton of Solothurn in Switzerland, known historically for its steel industry and residential character.
-
D.
Küsnacht
Küsnacht is a picturesque Swiss municipality on the shores of Lake Zurich, known for its affluent residential character and scenic lakeside setting.
-
E.
Steißlingen
Steißlingen is a municipality in the district of Konstanz in the state of Baden-Württemberg in southern Germany.
- 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_6a07d423f0548190946e7ca67d492efc |
completed | May 16, 2026, 2:19 a.m. |
| NEDg | Description generation | batch_6a07d6ca396881908a56231d92d3a027 |
completed | May 16, 2026, 2:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07d789da048190886707569b343973 |
completed | May 16, 2026, 2:33 a.m. |
Created at: April 10, 2026, 1:42 p.m.