Triple
T17389330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kochergasse |
E422773
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Bundesgasse
Bundesgasse is a central street in Bern, Switzerland, known for its proximity to key federal government buildings and institutions.
|
E1287546
|
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: Bundesgasse | Statement: [Kochergasse, locatedNear, Bundesgasse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bundesgasse Context triple: [Kochergasse, locatedNear, Bundesgasse]
-
A.
Biebergasse
Biebergasse is a shopping street in central Frankfurt am Main, Germany, known for its retail stores and proximity to the Hauptwache square.
-
B.
Königsplatz
Königsplatz is a historic square in Berlin that played a significant role in the city’s political and cultural life, especially during the 19th and early 20th centuries.
-
C.
Königsplatz
Königsplatz is a central square in the Bavarian city of Fürth, Germany, known as an important local transport and urban hub.
-
D.
Königsplatz
Königsplatz is a historic square in Munich, Germany, renowned for its neoclassical architecture and prominent museums forming part of the city’s cultural district.
-
E.
Burgenstraße
Burgenstraße is a famous German tourist route known for connecting numerous historic castles and picturesque medieval towns.
- 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: Bundesgasse Triple: [Kochergasse, locatedNear, Bundesgasse]
Generated description
Bundesgasse is a central street in Bern, Switzerland, known for its proximity to key federal government buildings and institutions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bundesgasse Target entity description: Bundesgasse is a central street in Bern, Switzerland, known for its proximity to key federal government buildings and institutions.
-
A.
Biebergasse
Biebergasse is a shopping street in central Frankfurt am Main, Germany, known for its retail stores and proximity to the Hauptwache square.
-
B.
Königsplatz
Königsplatz is a historic square in Berlin that played a significant role in the city’s political and cultural life, especially during the 19th and early 20th centuries.
-
C.
Königsplatz
Königsplatz is a central square in the Bavarian city of Fürth, Germany, known as an important local transport and urban hub.
-
D.
Königsplatz
Königsplatz is a historic square in Munich, Germany, renowned for its neoclassical architecture and prominent museums forming part of the city’s cultural district.
-
E.
Burgenstraße
Burgenstraße is a famous German tourist route known for connecting numerous historic castles and picturesque medieval towns.
- 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a8c718c81909cb20749aaf12897 |
completed | April 19, 2026, 2:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02f82126088190ac22448639dafd35 |
completed | May 12, 2026, 9:51 a.m. |
| NEDg | Description generation | batch_6a02f8ba9f3c8190adf8ca9b8a7295a0 |
completed | May 12, 2026, 9:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02f97d8c9081908ecaba1ffdb07332 |
completed | May 12, 2026, 9:57 a.m. |
Created at: April 10, 2026, 5:45 a.m.