Triple

T9349369
Position Surface form Disambiguated ID Type / Status
Subject Hofheim am Taunus E224974 entity
Predicate hasSubdivision P747 FINISHED
Object Marxheim
Marxheim is a district of the town Hofheim am Taunus in the German state of Hesse.
E801592 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: Marxheim | Statement: [Hofheim am Taunus, hasSubdivision, Marxheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marxheim
Context triple: [Hofheim am Taunus, hasSubdivision, Marxheim]
  • A. Haslach
    Haslach is a district or locality that forms part of the town of Oberkirch in the German state of Baden-Württemberg.
  • B. Haslach
    Haslach is a town in southern Germany historically noted as the site of the Battle of Haslach-Jungingen during the Napoleonic Wars.
  • C. Pottendorf
    Pottendorf is a market town in Lower Austria known for its historic castle and location within the Baden district.
  • D. Geisenfeld
    Geisenfeld is a small town in Bavaria, Germany, known as the birthplace of prominent early Nazi politician Gregor Strasser.
  • E. Hartberg
    Hartberg is a small historic town in southeastern Austria known for its medieval architecture, vineyards, and location in the Styrian hill country.
  • 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: Marxheim
Triple: [Hofheim am Taunus, hasSubdivision, Marxheim]
Generated description
Marxheim is a district of the town Hofheim am Taunus in the German state of Hesse.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Marxheim
Target entity description: Marxheim is a district of the town Hofheim am Taunus in the German state of Hesse.
  • A. Haslach
    Haslach is a district or locality that forms part of the town of Oberkirch in the German state of Baden-Württemberg.
  • B. Haslach
    Haslach is a town in southern Germany historically noted as the site of the Battle of Haslach-Jungingen during the Napoleonic Wars.
  • C. Pottendorf
    Pottendorf is a market town in Lower Austria known for its historic castle and location within the Baden district.
  • D. Geisenfeld
    Geisenfeld is a small town in Bavaria, Germany, known as the birthplace of prominent early Nazi politician Gregor Strasser.
  • E. Hartberg
    Hartberg is a small historic town in southeastern Austria known for its medieval architecture, vineyards, and location in the Styrian hill country.
  • 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_69ca842abfd48190949d71c3b86eeba8 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4f1198b88190adc0b01f7c1be36e completed April 1, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12cc941a88190b0aa9ac56f453e27 completed April 4, 2026, 3:22 p.m.
NEDg Description generation batch_69d12d594cec8190bdabc65a04b286a5 completed April 4, 2026, 3:25 p.m.
NED2 Entity disambiguation (via description) batch_69d12db7b224819099427cc571f1046f completed April 4, 2026, 3:26 p.m.
Created at: March 30, 2026, 7:41 p.m.