Triple

T10988115
Position Surface form Disambiguated ID Type / Status
Subject Haßberge (district) E259683 entity
Predicate contains P35 FINISHED
Object Eltmann
Eltmann is a small town in the Lower Franconia region of Bavaria, Germany, situated along the Main River and known for its historic architecture and surrounding wine-growing landscape.
 E898323 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: Eltmann | Statement: [Haßberge (district), contains, Eltmann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Eltmann
Context triple: [Haßberge (district), contains, Eltmann]
  • A. Eltigen
    Eltigen is a coastal village on the Kerch Peninsula in Crimea, historically notable as a key site of Soviet amphibious landings during World War II.
  • B. Edelmann
    Edelmann is a surname of German origin borne by various individuals across fields such as music, sports, and academia.
  • C. Hammann
    Hammann is a German-origin surname borne by various notable individuals in fields such as aviation, music, and academia.
  • D. Ernman
    Ernman is the surname of Swedish opera singer and environmental activist Malena Ernman.
  • E. Rotherbaum
    Rotherbaum is a central, upscale district of Hamburg, Germany, known for its elegant residential areas, cultural institutions, and proximity to the Alster lakes.
  • 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: Eltmann
Triple: [Haßberge (district), contains, Eltmann]
Generated description
Eltmann is a small town in the Lower Franconia region of Bavaria, Germany, situated along the Main River and known for its historic architecture and surrounding wine-growing landscape.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Eltmann
Target entity description: Eltmann is a small town in the Lower Franconia region of Bavaria, Germany, situated along the Main River and known for its historic architecture and surrounding wine-growing landscape.
  • A. Eltigen
    Eltigen is a coastal village on the Kerch Peninsula in Crimea, historically notable as a key site of Soviet amphibious landings during World War II.
  • B. Edelmann
    Edelmann is a surname of German origin borne by various individuals across fields such as music, sports, and academia.
  • C. Hammann
    Hammann is a German-origin surname borne by various notable individuals in fields such as aviation, music, and academia.
  • D. Ernman
    Ernman is the surname of Swedish opera singer and environmental activist Malena Ernman.
  • E. Rotherbaum
    Rotherbaum is a central, upscale district of Hamburg, Germany, known for its elegant residential areas, cultural institutions, and proximity to the Alster lakes.
  • 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d787b574d08190adec34b814a26437 completed April 9, 2026, 11:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69e344f95ab88190bbce8f0eab0b2713 completed April 18, 2026, 8:46 a.m.
NEDg Description generation batch_69e3556e8b408190a02a1fe194ae5750 completed April 18, 2026, 9:57 a.m.
NED2 Entity disambiguation (via description) batch_69e3591ecd548190b049ce95fe3f86d9 completed April 18, 2026, 10:12 a.m.
Created at: April 8, 2026, 9:24 p.m.