Triple

T9282224
Position Surface form Disambiguated ID Type / Status
Subject Aachen district (Städteregion Aachen) E223095 entity
Predicate contains P35 FINISHED
Object Aldenhoven
Aldenhoven is a small municipality in western Germany’s North Rhine-Westphalia, situated near the city of Aachen.
E804692 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: Aldenhoven | Statement: [Aachen district (Städteregion Aachen), contains, Aldenhoven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aldenhoven
Context triple: [Aachen district (Städteregion Aachen), contains, Aldenhoven]
  • A. Lüdenscheid
    Lüdenscheid is a town in western Germany’s Sauerland region, historically noted for its role in World War II and known today for its metal and plastics industries.
  • B. Bocholt
    Bocholt is a medium-sized German city in the state of North Rhine-Westphalia, known for its industrial heritage and proximity to the Dutch border.
  • C. Bocholt
    Bocholt is a municipality in the Belgian province of Limburg, known for its rural character and local brewing tradition.
  • D. Heinsberg
    Heinsberg is a town in western Germany’s North Rhine-Westphalia near the Dutch border, known as the administrative center of the Heinsberg district.
  • E. Heiligenhaus
    Heiligenhaus is a small town in North Rhine-Westphalia, western Germany, known for its manufacturing industry and location between Düsseldorf and Essen.
  • 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: Aldenhoven
Triple: [Aachen district (Städteregion Aachen), contains, Aldenhoven]
Generated description
Aldenhoven is a small municipality in western Germany’s North Rhine-Westphalia, situated near the city of Aachen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Aldenhoven
Target entity description: Aldenhoven is a small municipality in western Germany’s North Rhine-Westphalia, situated near the city of Aachen.
  • A. Lüdenscheid
    Lüdenscheid is a town in western Germany’s Sauerland region, historically noted for its role in World War II and known today for its metal and plastics industries.
  • B. Bocholt
    Bocholt is a medium-sized German city in the state of North Rhine-Westphalia, known for its industrial heritage and proximity to the Dutch border.
  • C. Bocholt
    Bocholt is a municipality in the Belgian province of Limburg, known for its rural character and local brewing tradition.
  • D. Heinsberg
    Heinsberg is a town in western Germany’s North Rhine-Westphalia near the Dutch border, known as the administrative center of the Heinsberg district.
  • E. Heiligenhaus
    Heiligenhaus is a small town in North Rhine-Westphalia, western Germany, known for its manufacturing industry and location between Düsseldorf and Essen.
  • 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_69ca842123588190b3f2e1a69037d141 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd081c2b048190aa6930de3bf2f87f completed April 1, 2026, 11:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69d14bcc15508190b54acd74d4d7c911 completed April 4, 2026, 5:35 p.m.
NEDg Description generation batch_69d14ca535588190aa2ff77f0658226b completed April 4, 2026, 5:38 p.m.
NED2 Entity disambiguation (via description) batch_69d14d29d32c8190a8615b3450492abc completed April 4, 2026, 5:40 p.m.
Created at: March 30, 2026, 7:34 p.m.