Triple
T10084845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wülfrath |
E215193
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Rohdenhaus
Rohdenhaus is a district or locality within the town of Wülfrath in North Rhine-Westphalia, Germany.
|
E841015
|
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: Rohdenhaus | Statement: [Wülfrath, hasSubdivision, Rohdenhaus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rohdenhaus Context triple: [Wülfrath, hasSubdivision, Rohdenhaus]
-
A.
Wildhaus
Wildhaus is a village in the Swiss canton of St. Gallen, known as the alpine birthplace of Protestant reformer Huldrych Zwingli.
-
B.
Herrenhaus
Herrenhaus was the upper chamber of the Prussian parliament, functioning as the Prussian House of Lords in the Kingdom of Prussia.
-
C.
Hartmannshof
Hartmannshof is a locality in Bavaria, Germany, that functions as an outer terminus on the Nuremberg S-Bahn commuter rail network.
-
D.
Woermannhaus
Woermannhaus is a historic German colonial-era building in Swakopmund, Namibia, known for its distinctive architecture and prominent tower.
-
E.
Marienhof
Marienhof is a German television soap opera that gained popularity in the 1990s and 2000s for its portrayal of everyday life and relationships in a fictional Cologne neighborhood.
- 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: Rohdenhaus Triple: [Wülfrath, hasSubdivision, Rohdenhaus]
Generated description
Rohdenhaus is a district or locality within the town of Wülfrath in North Rhine-Westphalia, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rohdenhaus Target entity description: Rohdenhaus is a district or locality within the town of Wülfrath in North Rhine-Westphalia, Germany.
-
A.
Wildhaus
Wildhaus is a village in the Swiss canton of St. Gallen, known as the alpine birthplace of Protestant reformer Huldrych Zwingli.
-
B.
Herrenhaus
Herrenhaus was the upper chamber of the Prussian parliament, functioning as the Prussian House of Lords in the Kingdom of Prussia.
-
C.
Hartmannshof
Hartmannshof is a locality in Bavaria, Germany, that functions as an outer terminus on the Nuremberg S-Bahn commuter rail network.
-
D.
Woermannhaus
Woermannhaus is a historic German colonial-era building in Swakopmund, Namibia, known for its distinctive architecture and prominent tower.
-
E.
Marienhof
Marienhof is a German television soap opera that gained popularity in the 1990s and 2000s for its portrayal of everyday life and relationships in a fictional Cologne neighborhood.
- 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_69ca83a1eed081908b2e9580f2ebeea7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd044c1ec8190b5b48cdb0584d00c |
completed | April 2, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b68188c48190ac783cdfc072c502 |
completed | April 5, 2026, 7:22 p.m. |
| NEDg | Description generation | batch_69d2b7aecdb081909f651c1bc1bcfd75 |
completed | April 5, 2026, 7:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2b86bf8948190a79046efadc4adea |
completed | April 5, 2026, 7:30 p.m. |
Created at: March 30, 2026, 9 p.m.