Triple

T3917455
Position Surface form Disambiguated ID Type / Status
Subject Murg E88875 entity
Predicate flowsThrough P225 FINISHED
Object Kuppenheim
Kuppenheim is a small town in the Rastatt district of Baden-Württemberg, southwestern Germany, situated near the Black Forest.
E418794 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: Kuppenheim | Statement: [Murg, flowsThrough, Kuppenheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kuppenheim
Context triple: [Murg, flowsThrough, Kuppenheim]
  • A. Entzheim
    Entzheim is a commune in northeastern France, near Strasbourg, best known for hosting Strasbourg Airport.
  • B. Mergentheim
    Mergentheim is a historic town in southern Germany best known as the former main seat of the Teutonic Order and for its well-preserved medieval and baroque architecture.
  • C. Schaafheim
    Schaafheim is a municipality in the state of Hesse in central Germany.
  • D. Hornsberg
    Hornsberg is a waterfront residential and commercial district on the island of Kungsholmen in central Stockholm, Sweden.
  • E. Günsberg
    Günsberg is a Swiss municipality located in the canton of Solothurn, known for its scenic setting near the Jura Mountains.
  • 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: Kuppenheim
Triple: [Murg, flowsThrough, Kuppenheim]
Generated description
Kuppenheim is a small town in the Rastatt district of Baden-Württemberg, southwestern Germany, situated near the Black Forest.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kuppenheim
Target entity description: Kuppenheim is a small town in the Rastatt district of Baden-Württemberg, southwestern Germany, situated near the Black Forest.
  • A. Entzheim
    Entzheim is a commune in northeastern France, near Strasbourg, best known for hosting Strasbourg Airport.
  • B. Mergentheim
    Mergentheim is a historic town in southern Germany best known as the former main seat of the Teutonic Order and for its well-preserved medieval and baroque architecture.
  • C. Schaafheim
    Schaafheim is a municipality in the state of Hesse in central Germany.
  • D. Hornsberg
    Hornsberg is a waterfront residential and commercial district on the island of Kungsholmen in central Stockholm, Sweden.
  • E. Günsberg
    Günsberg is a Swiss municipality located in the canton of Solothurn, known for its scenic setting near the Jura Mountains.
  • 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_69aed955229881909e85e73ffab1d343 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeed5797508190adaddb84575d9bb3 completed March 9, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b589c2e33c8190af908a6a021a2a82 completed March 14, 2026, 4:16 p.m.
NEDg Description generation batch_69b58a2cc408819094f9aa5521962c06 completed March 14, 2026, 4:17 p.m.
NED2 Entity disambiguation (via description) batch_69b58a6603e88190af4f40184f6b2593 completed March 14, 2026, 4:18 p.m.
Created at: March 9, 2026, 3:22 p.m.