Triple

T17064285
Position Surface form Disambiguated ID Type / Status
Subject Büchel Air Base E414041 entity
Predicate near P350 FINISHED
Object Büchel
Büchel is a small municipality in western Germany’s Rhineland-Palatinate state, known primarily for hosting the nearby Büchel Air Base.
 E1263402 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: Büchel | Statement: [Büchel Air Base, near, Büchel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Büchel
Context triple: [Büchel Air Base, near, Büchel]
  • A. Bettlach
    Bettlach is a Swiss municipality located in the canton of Solothurn.
  • B. Rugendorf
    Rugendorf is a small municipality in the Bavarian region of Upper Franconia in Germany.
  • C. Gimmelwald
    Gimmelwald is a small, traditional Swiss alpine village known for its dramatic mountain scenery and tranquil, car-free atmosphere in the Bernese Oberland.
  • D. Oschwand
    Oschwand is a small locality in Switzerland known for its association with the Swiss painter Cuno Amiet, who lived and worked there.
  • E. Waltershof
    Waltershof is an industrial and port district of Hamburg, Germany, located within the borough of Hamburg-Mitte.
  • 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: Büchel
Triple: [Büchel Air Base, near, Büchel]
Generated description
Büchel is a small municipality in western Germany’s Rhineland-Palatinate state, known primarily for hosting the nearby Büchel Air Base.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Büchel
Target entity description: Büchel is a small municipality in western Germany’s Rhineland-Palatinate state, known primarily for hosting the nearby Büchel Air Base.
  • A. Bettlach
    Bettlach is a Swiss municipality located in the canton of Solothurn.
  • B. Rugendorf
    Rugendorf is a small municipality in the Bavarian region of Upper Franconia in Germany.
  • C. Gimmelwald
    Gimmelwald is a small, traditional Swiss alpine village known for its dramatic mountain scenery and tranquil, car-free atmosphere in the Bernese Oberland.
  • D. Oschwand
    Oschwand is a small locality in Switzerland known for its association with the Swiss painter Cuno Amiet, who lived and worked there.
  • E. Waltershof
    Waltershof is an industrial and port district of Hamburg, Germany, located within the borough of Hamburg-Mitte.
  • 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_69d886cde3d481908d4d01ba88ba7eb7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3db7f6a6081909bebce3ce925e663 completed April 18, 2026, 7:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a018c36b32c8190a365b7b80207978c completed May 11, 2026, 7:58 a.m.
NEDg Description generation batch_6a018d86c7808190b9de682e49d4295c completed May 11, 2026, 8:04 a.m.
NED2 Entity disambiguation (via description) batch_6a018e57fa708190872ad2fb5f660507 completed May 11, 2026, 8:07 a.m.
Created at: April 10, 2026, 5:34 a.m.