Triple
T698569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grande Île |
E13946
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object |
Strasbourg – Grande Île and Neustadt World Heritage Site
The Strasbourg – Grande Île and Neustadt World Heritage Site is a UNESCO-listed historic urban ensemble in Strasbourg, France, renowned for its well-preserved medieval core, monumental German imperial quarter, and rich blend of French and German architectural traditions.
|
E12607
|
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: Strasbourg – Grande Île and Neustadt World Heritage Site | Statement: [Grande Île, partOf, Strasbourg – Grande Île and Neustadt World Heritage Site]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Strasbourg – Grande Île and Neustadt World Heritage Site Context triple: [Grande Île, partOf, Strasbourg – Grande Île and Neustadt World Heritage Site]
-
A.
Ancienne Douane de Strasbourg
Ancienne Douane de Strasbourg is a historic former customs house on Strasbourg’s Grande Île, notable for its medieval architecture and role in the city’s commercial past.
-
B.
Strasbourg
Strasbourg is a major French city on the Rhine known for hosting key European institutions, including the European Parliament and the Council of Europe.
-
C.
Old Town of Geneva
The Old Town of Geneva is the city's historic center, characterized by its medieval streets, landmark St. Peter's Cathedral, and well-preserved architecture overlooking Lake Geneva.
-
D.
Strasbourg Cathedral
Strasbourg Cathedral is a towering Gothic masterpiece in Strasbourg, France, renowned for its intricate façade, astronomical clock, and once being the world’s tallest building.
-
E.
Colmar
Colmar is a picturesque historic town in northeastern France’s Alsace region, renowned for its well-preserved medieval and early Renaissance architecture and canals.
- 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: Strasbourg – Grande Île and Neustadt World Heritage Site Triple: [Grande Île, partOf, Strasbourg – Grande Île and Neustadt World Heritage Site]
Generated description
The Strasbourg – Grande Île and Neustadt World Heritage Site is a UNESCO-listed historic urban ensemble in Strasbourg, France, renowned for its well-preserved medieval core, monumental German imperial quarter, and rich blend of French and German architectural traditions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Strasbourg – Grande Île and Neustadt World Heritage Site Target entity description: The Strasbourg – Grande Île and Neustadt World Heritage Site is a UNESCO-listed historic urban ensemble in Strasbourg, France, renowned for its well-preserved medieval core, monumental German imperial quarter, and rich blend of French and German architectural traditions.
-
A.
Ancienne Douane de Strasbourg
Ancienne Douane de Strasbourg is a historic former customs house on Strasbourg’s Grande Île, notable for its medieval architecture and role in the city’s commercial past.
-
B.
Strasbourg
chosen
Strasbourg is a major French city on the Rhine known for hosting key European institutions, including the European Parliament and the Council of Europe.
-
C.
Old Town of Geneva
The Old Town of Geneva is the city's historic center, characterized by its medieval streets, landmark St. Peter's Cathedral, and well-preserved architecture overlooking Lake Geneva.
-
D.
Strasbourg Cathedral
Strasbourg Cathedral is a towering Gothic masterpiece in Strasbourg, France, renowned for its intricate façade, astronomical clock, and once being the world’s tallest building.
-
E.
Colmar
Colmar is a picturesque historic town in northeastern France’s Alsace region, renowned for its well-preserved medieval and early Renaissance architecture and canals.
- F. None of above.
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_69a493406c408190957eeec9048a8fb6 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a0c99be48190babc37c397b6a186 |
completed | March 1, 2026, 8:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a654dace34819094c74f7c6ff4716c |
completed | March 3, 2026, 3:26 a.m. |
| NEDg | Description generation | batch_69a65a8040f08190a60f3f0e80deebe5 |
completed | March 3, 2026, 3:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a65aea47e88190b3a14dc7f8801445 |
completed | March 3, 2026, 3:52 a.m. |
Created at: March 1, 2026, 7:36 p.m.