Triple
T15968867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hiddenhausen |
E387267
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Sundern
Sundern is a locality that forms one of the subdivisions of the municipality of Hiddenhausen in North Rhine-Westphalia, Germany.
|
E1186066
|
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: Sundern | Statement: [Hiddenhausen, hasSubdivision, Sundern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sundern Context triple: [Hiddenhausen, hasSubdivision, Sundern]
-
A.
Sundern
Sundern is a town in the Hochsauerland district of North Rhine-Westphalia, Germany, known for its proximity to the Sorpe Dam and the surrounding Sauerland recreational region.
-
B.
Süddorf
Süddorf is a small village on the North Sea island of Amrum in northern Germany, known for its traditional Frisian character and coastal surroundings.
-
C.
Winsum
Winsum is a historic village and former municipality in the Dutch province of Groningen, known for its old churches, windmills, and picturesque canals.
-
D.
Nottuln
Nottuln is a historic municipality in North Rhine-Westphalia, Germany, known for its medieval architecture and role in regional conflicts.
-
E.
Teesdorf
Teesdorf is a municipality in Lower Austria known for its motorsport testing facilities and rural setting south of Vienna.
- 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: Sundern Triple: [Hiddenhausen, hasSubdivision, Sundern]
Generated description
Sundern is a locality that forms one of the subdivisions of the municipality of Hiddenhausen in North Rhine-Westphalia, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sundern Target entity description: Sundern is a locality that forms one of the subdivisions of the municipality of Hiddenhausen in North Rhine-Westphalia, Germany.
-
A.
Sundern
Sundern is a town in the Hochsauerland district of North Rhine-Westphalia, Germany, known for its proximity to the Sorpe Dam and the surrounding Sauerland recreational region.
-
B.
Süddorf
Süddorf is a small village on the North Sea island of Amrum in northern Germany, known for its traditional Frisian character and coastal surroundings.
-
C.
Winsum
Winsum is a historic village and former municipality in the Dutch province of Groningen, known for its old churches, windmills, and picturesque canals.
-
D.
Nottuln
Nottuln is a historic municipality in North Rhine-Westphalia, Germany, known for its medieval architecture and role in regional conflicts.
-
E.
Teesdorf
Teesdorf is a municipality in Lower Austria known for its motorsport testing facilities and rural setting south of Vienna.
- 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.