Triple

T9992062
Position Surface form Disambiguated ID Type / Status
Subject Himmelbett zone E196908 entity
Predicate namedAfter P63 FINISHED
Object Himmelbett
Himmelbett was a German World War II night air defense system that coordinated radar, searchlights, and fighter aircraft to intercept Allied bombers.
 E833179 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: Himmelbett | Statement: [Himmelbett zone, namedAfter, Himmelbett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Himmelbett
Context triple: [Himmelbett zone, namedAfter, Himmelbett]
  • A. Bett
    Bett is a given name, typically used as a short form or variant of names like Bette, Elizabeth, or Bettina.
  • B. Hohe Acht
    Hohe Acht is the highest peak in Germany’s Eifel region, known for its volcanic origins and panoramic views.
  • C. Am Hof
    Am Hof is a historic square in Vienna’s Innere Stadt district, known for its medieval origins, notable architecture, and role as a former center of civic and religious life.
  • D. Ein Stück Himmel
    Ein Stück Himmel is a 1982 German television film directed by Franz Xaver Bogner, known as an early breakthrough role for actress Dana Vávrová.
  • E. Ehlhalten
    Ehlhalten is a village and district of the town of Eppstein in the Rheingau-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: Himmelbett
Triple: [Himmelbett zone, namedAfter, Himmelbett]
Generated description
Himmelbett was a German World War II night air defense system that coordinated radar, searchlights, and fighter aircraft to intercept Allied bombers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Himmelbett
Target entity description: Himmelbett was a German World War II night air defense system that coordinated radar, searchlights, and fighter aircraft to intercept Allied bombers.
  • A. Bett
    Bett is a given name, typically used as a short form or variant of names like Bette, Elizabeth, or Bettina.
  • B. Hohe Acht
    Hohe Acht is the highest peak in Germany’s Eifel region, known for its volcanic origins and panoramic views.
  • C. Am Hof
    Am Hof is a historic square in Vienna’s Innere Stadt district, known for its medieval origins, notable architecture, and role as a former center of civic and religious life.
  • D. Ein Stück Himmel
    Ein Stück Himmel is a 1982 German television film directed by Franz Xaver Bogner, known as an early breakthrough role for actress Dana Vávrová.
  • E. Ehlhalten
    Ehlhalten is a village and district of the town of Eppstein in the Rheingau-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_69ca82f1678c819093d06320a05f16a4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdcb95842c8190b8cdce9584f19840 completed April 2, 2026, 1:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d25821dde881909f5d4cc6ad048b01 completed April 5, 2026, 12:40 p.m.
NEDg Description generation batch_69d258b875cc8190ae8b122f35aa5566 completed April 5, 2026, 12:42 p.m.
NED2 Entity disambiguation (via description) batch_69d2592b1f9c8190a9db928b9527e27b completed April 5, 2026, 12:44 p.m.
Created at: March 30, 2026, 8:50 p.m.