Triple

T21277132
Position Surface form Disambiguated ID Type / Status
Subject Minden-Lübbecke district E524416 entity
Predicate contains P35 FINISHED
Object Hüllhorst
Hüllhorst is a municipality in the German state of North Rhine-Westphalia, known for its rural character and location within the Wiehen Hills region.
E1478559 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: Hüllhorst | Statement: [Minden-Lübbecke district, contains, Hüllhorst]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hüllhorst
Context triple: [Minden-Lübbecke district, contains, Hüllhorst]
  • A. Wallhausen
    Wallhausen is a village in present-day Saxony-Anhalt, Germany, historically notable as the birthplace of Otto I, Holy Roman Emperor.
  • B. Hollenstedt
    Hollenstedt is a municipality in Lower Saxony, Germany, located in the district of Harburg southwest of Hamburg.
  • C. Hummelsbüttel
    Hummelsbüttel is a residential quarter in the borough of Wandsbek in Hamburg, Germany, known for its green spaces and suburban character.
  • D. Wallenhorst
    Wallenhorst is a municipality in Lower Saxony, Germany, located near the city of Osnabrück.
  • E. Hornau
    Hornau is a district of the town of Kelkheim in the Main-Taunus region of Hesse, Germany.
  • 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: Hüllhorst
Triple: [Minden-Lübbecke district, contains, Hüllhorst]
Generated description
Hüllhorst is a municipality in the German state of North Rhine-Westphalia, known for its rural character and location within the Wiehen Hills region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hüllhorst
Target entity description: Hüllhorst is a municipality in the German state of North Rhine-Westphalia, known for its rural character and location within the Wiehen Hills region.
  • A. Wallhausen
    Wallhausen is a village in present-day Saxony-Anhalt, Germany, historically notable as the birthplace of Otto I, Holy Roman Emperor.
  • B. Hollenstedt
    Hollenstedt is a municipality in Lower Saxony, Germany, located in the district of Harburg southwest of Hamburg.
  • C. Hummelsbüttel
    Hummelsbüttel is a residential quarter in the borough of Wandsbek in Hamburg, Germany, known for its green spaces and suburban character.
  • D. Wallenhorst
    Wallenhorst is a municipality in Lower Saxony, Germany, located near the city of Osnabrück.
  • E. Hornau
    Hornau is a district of the town of Kelkheim in the Main-Taunus region of Hesse, Germany.
  • 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_69e0b516293c819089458ea2ec85f85e completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736583c08819087a4726538e703e2 completed April 21, 2026, 8:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09a5ad324c81909a5828f94d8e2679 completed May 17, 2026, 11:25 a.m.
NEDg Description generation batch_6a09a653f0108190ac0881f63865222e completed May 17, 2026, 11:28 a.m.
NED2 Entity disambiguation (via description) batch_6a09a6e82b3881908bb85f0d7fe3d6d9 completed May 17, 2026, 11:30 a.m.
Created at: April 16, 2026, 4:02 p.m.