Triple
T15968910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Löhne |
E387268
|
entity |
| Predicate | subdivision |
P747
|
FINISHED |
| Object |
Obernbeck
Obernbeck is a district of the town of Löhne in the Herford district of North Rhine-Westphalia, Germany.
|
E1186068
|
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: Obernbeck | Statement: [Löhne, subdivision, Obernbeck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Obernbeck Context triple: [Löhne, subdivision, Obernbeck]
-
A.
Brenkhausen
Brenkhausen is a village and district of the town of Höxter in North Rhine-Westphalia, Germany.
-
B.
Oberthulba
Oberthulba is a small municipality in northern Bavaria, Germany, known for its rural character and location within the Franconian Saale region.
-
C.
Haselbach
Haselbach is a small municipality in the Straubing-Bogen district of Lower Bavaria in southeastern Germany.
-
D.
Beyenburg
Beyenburg is a historic district in the eastern part of Wuppertal, Germany, known for its medieval monastery, reservoir, and well-preserved village character.
-
E.
Boosbeck
Boosbeck is a village in North Yorkshire, England, situated within the borough of Redcar and Cleveland.
- 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: Obernbeck Triple: [Löhne, subdivision, Obernbeck]
Generated description
Obernbeck is a district of the town of Löhne in the Herford district of North Rhine-Westphalia, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Obernbeck Target entity description: Obernbeck is a district of the town of Löhne in the Herford district of North Rhine-Westphalia, Germany.
-
A.
Brenkhausen
Brenkhausen is a village and district of the town of Höxter in North Rhine-Westphalia, Germany.
-
B.
Oberthulba
Oberthulba is a small municipality in northern Bavaria, Germany, known for its rural character and location within the Franconian Saale region.
-
C.
Haselbach
Haselbach is a small municipality in the Straubing-Bogen district of Lower Bavaria in southeastern Germany.
-
D.
Beyenburg
Beyenburg is a historic district in the eastern part of Wuppertal, Germany, known for its medieval monastery, reservoir, and well-preserved village character.
-
E.
Boosbeck
Boosbeck is a village in North Yorkshire, England, situated within the borough of Redcar and Cleveland.
- 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_69ffbe88fa308190942d37cf67458396 |
completed | May 9, 2026, 11:08 p.m. |
| NEDg | Description generation | batch_69ffbf3e80b08190899262a9d03c0e93 |
completed | May 9, 2026, 11:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffbfc0d1548190b7d2e9e10e837f0b |
completed | May 9, 2026, 11:14 p.m. |
Created at: April 10, 2026, 4:54 a.m.