Triple
T22206994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Humboldt Island |
E548836
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Berlin museum district |
—
|
NE NERFINISHED |
How this triple was built (3 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: Berlin museum district | Statement: [Humboldt Island, locatedNear, Berlin museum district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berlin museum district Context triple: [Humboldt Island, locatedNear, Berlin museum district]
-
A.
Berlin government district
The Berlin government district is the central area of Germany’s capital that houses key federal institutions, including the Bundestag in the Reichstag building and the offices of the Chancellor.
-
B.
Berlin Commercial District
The Berlin Commercial District is the historic downtown core of Berlin, Maryland, known for its preserved 19th- and early 20th-century architecture, small businesses, and walkable main-street character.
-
C.
Brücke-Museum, Berlin
Brücke-Museum, Berlin is a museum dedicated to the works of the German Expressionist group Die Brücke, showcasing paintings, prints, and sculptures by its key members.
-
D.
Berlin old town
Berlin old town is the historic core of Germany’s capital, characterized by its medieval street layout, landmark churches, and proximity to the River Spree.
-
E.
Unter den Linden, Berlin
Unter den Linden, Berlin is a historic and grand boulevard in central Berlin, renowned for its cultural landmarks, government buildings, and role as a ceremonial axis of the city.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Berlin museum district Target entity description: The Berlin museum district is a renowned cultural area in Germany’s capital city that concentrates many of its most important museums, galleries, and historical institutions.
-
A.
Berlin government district
The Berlin government district is the central area of Germany’s capital that houses key federal institutions, including the Bundestag in the Reichstag building and the offices of the Chancellor.
-
B.
Berlin Commercial District
The Berlin Commercial District is the historic downtown core of Berlin, Maryland, known for its preserved 19th- and early 20th-century architecture, small businesses, and walkable main-street character.
-
C.
Brücke-Museum, Berlin
Brücke-Museum, Berlin is a museum dedicated to the works of the German Expressionist group Die Brücke, showcasing paintings, prints, and sculptures by its key members.
-
D.
Berlin old town
Berlin old town is the historic core of Germany’s capital, characterized by its medieval street layout, landmark churches, and proximity to the River Spree.
-
E.
Unter den Linden, Berlin
Unter den Linden, Berlin is a historic and grand boulevard in central Berlin, renowned for its cultural landmarks, government buildings, and role as a ceremonial axis of the city.
- F. None of above. chosen
Provenance (2 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_69e11e3f7e04819089806d81d5ac431e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b2936a481909aa84c7983ed49ee |
completed | April 28, 2026, 9:48 p.m. |
Created at: April 16, 2026, 8:36 p.m.