Triple

T12580893
Position Surface form Disambiguated ID Type / Status
Subject Rüthen E300331 entity
Predicate hasSubdivision P747 FINISHED
Object Altenrüthen
Altenrüthen is a village-level subdivision of the town of Rüthen in the state of North Rhine-Westphalia, Germany.
E991056 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: Altenrüthen | Statement: [Rüthen, hasSubdivision, Altenrüthen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Altenrüthen
Context triple: [Rüthen, hasSubdivision, Altenrüthen]
  • A. Altenau
    Altenau is a small town in Germany’s Harz Mountains, historically known as a mining and spa resort surrounded by dense forests and mountain landscapes.
  • B. Röthenbach
    Röthenbach is a station in Nuremberg, Germany that serves as a terminus on the city’s U-Bahn rapid transit network.
  • C. Altenkunstadt
    Altenkunstadt is a market town in Upper Franconia, Bavaria, Germany, situated on the river Main and known for its historic center and regional textile and shoe industries.
  • D. Hallerndorf
    Hallerndorf is a small municipality in the Upper Franconia region of Bavaria, Germany, known for its rural character and traditional Franconian culture.
  • E. Reichertshofen
    Reichertshofen is a market town and municipality in Upper Bavaria, Germany, known for its location near the confluence of the Paar and Ilm rivers and its proximity to the city of Ingolstadt.
  • 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: Altenrüthen
Triple: [Rüthen, hasSubdivision, Altenrüthen]
Generated description
Altenrüthen is a village-level subdivision of the town of Rüthen in the state of North Rhine-Westphalia, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Altenrüthen
Target entity description: Altenrüthen is a village-level subdivision of the town of Rüthen in the state of North Rhine-Westphalia, Germany.
  • A. Altenau
    Altenau is a small town in Germany’s Harz Mountains, historically known as a mining and spa resort surrounded by dense forests and mountain landscapes.
  • B. Röthenbach
    Röthenbach is a station in Nuremberg, Germany that serves as a terminus on the city’s U-Bahn rapid transit network.
  • C. Altenkunstadt
    Altenkunstadt is a market town in Upper Franconia, Bavaria, Germany, situated on the river Main and known for its historic center and regional textile and shoe industries.
  • D. Hallerndorf
    Hallerndorf is a small municipality in the Upper Franconia region of Bavaria, Germany, known for its rural character and traditional Franconian culture.
  • E. Reichertshofen
    Reichertshofen is a market town and municipality in Upper Bavaria, Germany, known for its location near the confluence of the Paar and Ilm rivers and its proximity to the city of Ingolstadt.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954b97a508190b6c901c506441dd0 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6559ba5108190b85be540a405eec8 completed May 2, 2026, 7:50 p.m.
NEDg Description generation batch_69f6566fe5dc8190910bc7ad34593a58 completed May 2, 2026, 7:54 p.m.
NED2 Entity disambiguation (via description) batch_69f65702435c8190a69e681c56a19b16 completed May 2, 2026, 7:56 p.m.
Created at: April 9, 2026, 5:02 p.m.