Triple
T13676413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chausseestraße |
E327889
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object |
Ortsteil Mitte
Ortsteil Mitte is the central district of Berlin, Germany, known for its historic core, major government buildings, and many of the city’s most famous landmarks.
|
E1055880
|
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: Ortsteil Mitte | Statement: [Chausseestraße, partOf, Ortsteil Mitte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ortsteil Mitte Context triple: [Chausseestraße, partOf, Ortsteil Mitte]
-
A.
Beuel-Mitte
Beuel-Mitte is the central district of the Beuel borough in Bonn, Germany, serving as its main urban and commercial area.
-
B.
Anlage Mitte
Anlage Mitte was a component installation within Adolf Hitler’s network of Führer headquarters used during World War II.
-
C.
Bahnhofsviertel
Bahnhofsviertel is a central Frankfurt district known for its mix of historic Wilhelminian architecture, nightlife, red-light area, and growing creative and gastronomic scene.
-
D.
Stadtmitte
Stadtmitte is the central urban district and main downtown area of the town of Eberswalde in Germany.
-
E.
Stadtmitte
Stadtmitte is the central urban district of the town of Bad Honnef in North Rhine-Westphalia, Germany.
- 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: Ortsteil Mitte Triple: [Chausseestraße, partOf, Ortsteil Mitte]
Generated description
Ortsteil Mitte is the central district of Berlin, Germany, known for its historic core, major government buildings, and many of the city’s most famous landmarks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ortsteil Mitte Target entity description: Ortsteil Mitte is the central district of Berlin, Germany, known for its historic core, major government buildings, and many of the city’s most famous landmarks.
-
A.
Beuel-Mitte
Beuel-Mitte is the central district of the Beuel borough in Bonn, Germany, serving as its main urban and commercial area.
-
B.
Anlage Mitte
Anlage Mitte was a component installation within Adolf Hitler’s network of Führer headquarters used during World War II.
-
C.
Bahnhofsviertel
Bahnhofsviertel is a central Frankfurt district known for its mix of historic Wilhelminian architecture, nightlife, red-light area, and growing creative and gastronomic scene.
-
D.
Stadtmitte
Stadtmitte is the central urban district of the town of Bad Honnef in North Rhine-Westphalia, Germany.
-
E.
Stadtmitte
Stadtmitte is the central urban district and main downtown area of the town of Eberswalde in Germany.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc65c04988190b675e6fb7241e53c |
completed | April 12, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7943dbf748190b41abfe9d81d1427 |
completed | May 3, 2026, 6:30 p.m. |
| NEDg | Description generation | batch_69f7986b9a1c8190b88634af9fc11ebe |
completed | May 3, 2026, 6:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f798d7e1a0819087332287d5f9a25f |
completed | May 3, 2026, 6:50 p.m. |
Created at: April 9, 2026, 9:53 p.m.