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.