Triple
T15968908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Löhne |
E387268
|
entity |
| Predicate | subdivision |
P747
|
FINISHED |
| Object |
Löhne-Ort
Löhne-Ort is a district within the town of Löhne in North Rhine-Westphalia, Germany, characterized by its residential areas and local amenities.
|
E1188314
|
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: Löhne-Ort | Statement: [Löhne, subdivision, Löhne-Ort]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Löhne-Ort Context triple: [Löhne, subdivision, Löhne-Ort]
-
A.
Löbau
Löbau is a small town in the Free State of Saxony in eastern Germany, known for its historic architecture and location in the Lusatian Highlands.
-
B.
Lohne
Lohne is a town in Lower Saxony, Germany, known for its industrial economy and location within the Vechta district.
-
C.
Wilhelmsdorf
Wilhelmsdorf is a village-level subdivision of the town of Usingen in the Hochtaunus district of Hesse, Germany.
-
D.
Ronsdorf
Ronsdorf is a district of the German city of Wuppertal in North Rhine-Westphalia, historically known as an independent town in the Bergisches Land region.
-
E.
Mettlach
Mettlach is a municipality in the Saarland region of western Germany, known for its scenic location along the Saar River and the famous Saar Loop (Saarschleife).
- 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: Löhne-Ort Triple: [Löhne, subdivision, Löhne-Ort]
Generated description
Löhne-Ort is a district within the town of Löhne in North Rhine-Westphalia, Germany, characterized by its residential areas and local amenities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Löhne-Ort Target entity description: Löhne-Ort is a district within the town of Löhne in North Rhine-Westphalia, Germany, characterized by its residential areas and local amenities.
-
A.
Löbau
Löbau is a small town in the Free State of Saxony in eastern Germany, known for its historic architecture and location in the Lusatian Highlands.
-
B.
Lohne
Lohne is a town in Lower Saxony, Germany, known for its industrial economy and location within the Vechta district.
-
C.
Wilhelmsdorf
Wilhelmsdorf is a village-level subdivision of the town of Usingen in the Hochtaunus district of Hesse, Germany.
-
D.
Ronsdorf
Ronsdorf is a district of the German city of Wuppertal in North Rhine-Westphalia, historically known as an independent town in the Bergisches Land region.
-
E.
Mettlach
Mettlach is a municipality in the Saarland region of western Germany, known for its scenic location along the Saar River and the famous Saar Loop (Saarschleife).
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1572847f08190830e30125e829766 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3c5a7d48190891e69314e67e9af |
completed | May 9, 2026, 11:31 p.m. |
| NEDg | Description generation | batch_69ffc52215e88190a3e2916969c73c3e |
completed | May 9, 2026, 11:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffc5902904819097a2c5efbde55882 |
completed | May 9, 2026, 11:38 p.m. |
Created at: April 10, 2026, 4:54 a.m.