Triple

T498053
Position Surface form Disambiguated ID Type / Status
Subject Basel–Mulhouse–Freiburg transport corridor E10338 entity
Predicate partOf P40 FINISHED
Object Upper Rhine metropolitan region
The Upper Rhine metropolitan region is a major transnational urban and economic area spanning parts of France, Germany, and Switzerland along the Upper Rhine, known for its dense cross-border integration, industry, and transport networks.
E63064 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: Upper Rhine metropolitan region | Statement: [Basel–Mulhouse–Freiburg transport corridor, partOf, Upper Rhine metropolitan region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Upper Rhine metropolitan region
Context triple: [Basel–Mulhouse–Freiburg transport corridor, partOf, Upper Rhine metropolitan region]
  • A. Eurodistrict Strasbourg-Ortenau
    Eurodistrict Strasbourg-Ortenau is a cross-border metropolitan region and cooperation structure linking the French city of Strasbourg with neighboring German municipalities in Ortenau to coordinate services, planning, and regional development.
  • B. Berlin-Brandenburg metropolitan region
    The Berlin-Brandenburg metropolitan region is a major German metropolitan area centered on the capital city of Berlin and the surrounding state of Brandenburg, serving as a key political, economic, and cultural hub in Central Europe.
  • C. Metropolregion Mitteldeutschland
    Metropolregion Mitteldeutschland is a central German metropolitan region and economic alliance that brings together major cities and districts to coordinate regional development, infrastructure, and innovation.
  • D. Rhineland
    The Rhineland is a historically significant region in western Germany along the Rhine River, long contested as a strategic and economic heartland in European conflicts.
  • E. Paris Basin
    The Paris Basin is a large sedimentary basin in northern France known for its gently rolling plains, fertile agricultural land, and significant geological and paleontological formations.
  • 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: Upper Rhine metropolitan region
Triple: [Basel–Mulhouse–Freiburg transport corridor, partOf, Upper Rhine metropolitan region]
Generated description
The Upper Rhine metropolitan region is a major transnational urban and economic area spanning parts of France, Germany, and Switzerland along the Upper Rhine, known for its dense cross-border integration, industry, and transport networks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Upper Rhine metropolitan region
Target entity description: The Upper Rhine metropolitan region is a major transnational urban and economic area spanning parts of France, Germany, and Switzerland along the Upper Rhine, known for its dense cross-border integration, industry, and transport networks.
  • A. Eurodistrict Strasbourg-Ortenau
    Eurodistrict Strasbourg-Ortenau is a cross-border metropolitan region and cooperation structure linking the French city of Strasbourg with neighboring German municipalities in Ortenau to coordinate services, planning, and regional development.
  • B. Berlin-Brandenburg metropolitan region
    The Berlin-Brandenburg metropolitan region is a major German metropolitan area centered on the capital city of Berlin and the surrounding state of Brandenburg, serving as a key political, economic, and cultural hub in Central Europe.
  • C. Metropolregion Mitteldeutschland
    Metropolregion Mitteldeutschland is a central German metropolitan region and economic alliance that brings together major cities and districts to coordinate regional development, infrastructure, and innovation.
  • D. Rhineland
    The Rhineland is a historically significant region in western Germany along the Rhine River, long contested as a strategic and economic heartland in European conflicts.
  • E. Paris Basin
    The Paris Basin is a large sedimentary basin in northern France known for its gently rolling plains, fertile agricultural land, and significant geological and paleontological formations.
  • 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_69a2e847df8481909239ec08ccf1e376 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1183e988190bce70932a9678134 completed Feb. 28, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a48a786db88190bd4486159a9f96bc completed March 1, 2026, 6:50 p.m.
NEDg Description generation batch_69a49323e5508190962b02b1110fb866 completed March 1, 2026, 7:27 p.m.
NED2 Entity disambiguation (via description) batch_69a494258c088190bf2ea5381d2b11e9 completed March 1, 2026, 7:31 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.