Triple

T18544414
Position Surface form Disambiguated ID Type / Status
Subject Rixheim E453184 entity
Predicate hasNeighbouringCommune P33892 FINISHED
Object Sausheim
Sausheim is a commune in the Haut-Rhin department of the Grand Est region in northeastern France, situated near the city of Mulhouse.
E1366752 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: Sausheim | Statement: [Rixheim, hasNeighbouringCommune, Sausheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sausheim
Context triple: [Rixheim, hasNeighbouringCommune, Sausheim]
  • A. Haunsheim
    Haunsheim is a small municipality in the Bavarian region of southern Germany, known for its rural character and historic village setting.
  • B. Ostelsheim
    Ostelsheim is a small municipality in the northern Black Forest region of Baden-Württemberg in southwestern Germany.
  • C. Rußheim
    Rußheim is a village in the German state of Baden-Württemberg, located in the Upper Rhine Plain and characterized by its agricultural surroundings and proximity to regional waterways.
  • D. Sossenheim
    Sossenheim is a district in the west of Frankfurt am Main, Germany, known for its residential character and proximity to the Main River industrial areas.
  • E. Schaafheim
    Schaafheim is a municipality in the state of Hesse in central 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: Sausheim
Triple: [Rixheim, hasNeighbouringCommune, Sausheim]
Generated description
Sausheim is a commune in the Haut-Rhin department of the Grand Est region in northeastern France, situated near the city of Mulhouse.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sausheim
Target entity description: Sausheim is a commune in the Haut-Rhin department of the Grand Est region in northeastern France, situated near the city of Mulhouse.
  • A. Haunsheim
    Haunsheim is a small municipality in the Bavarian region of southern Germany, known for its rural character and historic village setting.
  • B. Ostelsheim
    Ostelsheim is a small municipality in the northern Black Forest region of Baden-Württemberg in southwestern Germany.
  • C. Rußheim
    Rußheim is a village in the German state of Baden-Württemberg, located in the Upper Rhine Plain and characterized by its agricultural surroundings and proximity to regional waterways.
  • D. Sossenheim
    Sossenheim is a district in the west of Frankfurt am Main, Germany, known for its residential character and proximity to the Main River industrial areas.
  • E. Schaafheim
    Schaafheim is a municipality in the state of Hesse in central 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_69d8d388b0c881908e610a1c45b52640 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e534b9fa408190b5b397962920e439 completed April 19, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0705bb08188190b811f03908906732 completed May 15, 2026, 11:38 a.m.
NEDg Description generation batch_6a07063f12948190909bb5582b8aca5e completed May 15, 2026, 11:40 a.m.
NED2 Entity disambiguation (via description) batch_6a0706af26a8819092a88bc386af0dbe completed May 15, 2026, 11:42 a.m.
Created at: April 10, 2026, 11:38 a.m.