Triple

T20729621
Position Surface form Disambiguated ID Type / Status
Subject Renchen E509534 entity
Predicate hasTwinTown P919 FINISHED
Object Rosheim
Rosheim is a historic town in northeastern France’s Alsace region, known for its well-preserved medieval architecture and Romanesque church.
E1447467 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: Rosheim | Statement: [Renchen, hasTwinTown, Rosheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rosheim
Context triple: [Renchen, hasTwinTown, Rosheim]
  • A. Lomersheim
    Lomersheim is a district of the town of Mühlacker in the state of Baden-Württemberg in southwestern Germany.
  • B. Rixheim
    Rixheim is a commune in northeastern France’s Grand Est region, known historically for its wallpaper manufacturing industry.
  • C. Roigheim
    Roigheim is a small municipality in the German state of Baden-Württemberg, situated within the Heilbronn region.
  • D. Rauxel
    Rauxel is a locality in western Germany that forms part of the industrial Ruhr region within the state of North Rhine-Westphalia.
  • E. Polheim
    Polheim was the temporary base camp established by Roald Amundsen’s team at the geographic South Pole during their pioneering 1911 Antarctic expedition.
  • 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: Rosheim
Triple: [Renchen, hasTwinTown, Rosheim]
Generated description
Rosheim is a historic town in northeastern France’s Alsace region, known for its well-preserved medieval architecture and Romanesque church.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rosheim
Target entity description: Rosheim is a historic town in northeastern France’s Alsace region, known for its well-preserved medieval architecture and Romanesque church.
  • A. Lomersheim
    Lomersheim is a district of the town of Mühlacker in the state of Baden-Württemberg in southwestern Germany.
  • B. Rixheim
    Rixheim is a commune in northeastern France’s Grand Est region, known historically for its wallpaper manufacturing industry.
  • C. Roigheim
    Roigheim is a small municipality in the German state of Baden-Württemberg, situated within the Heilbronn region.
  • D. Rauxel
    Rauxel is a locality in western Germany that forms part of the industrial Ruhr region within the state of North Rhine-Westphalia.
  • E. Polheim
    Polheim was the temporary base camp established by Roald Amundsen’s team at the geographic South Pole during their pioneering 1911 Antarctic expedition.
  • 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_69e0b4c589c08190834fb5d86d0efa2b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1eb5d44819082d9fa410e676d91 completed April 21, 2026, 12:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08e05db8ac8190bd2e7ca0d184a426 completed May 16, 2026, 9:23 p.m.
NEDg Description generation batch_6a08e15d93ec8190bbe859fb42a4a5ac completed May 16, 2026, 9:27 p.m.
NED2 Entity disambiguation (via description) batch_6a08e25d8cb08190ba75b792aac192ab completed May 16, 2026, 9:32 p.m.
Created at: April 16, 2026, 12:30 p.m.