Triple
T1723956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dresden |
E37454
|
entity |
| Predicate | hasMuseum |
P105
|
FINISHED |
| Object |
Albertinum
The Albertinum is a renowned art museum in Dresden, Germany, best known for its extensive collections of modern art and sculpture.
|
E195164
|
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: Albertinum | Statement: [Dresden, hasMuseum, Albertinum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Albertinum Context triple: [Dresden, hasMuseum, Albertinum]
-
A.
Canova
Canova was a renowned Italian Neoclassical sculptor celebrated for his marble masterpieces depicting mythological and historical subjects.
-
B.
Barberini
Barberini is an influential Italian noble family from Florence and Rome, best known for producing Pope Urban VIII and for its major patronage of Baroque art and architecture.
-
C.
Carolinum
Carolinum is the historic central building and ceremonial heart of Charles University in Prague, serving as one of the oldest surviving university complexes in Europe.
-
D.
Emtage
Emtage is the surname of Alan Emtage, the Barbadian computer scientist best known for creating Archie, the first Internet search engine.
-
E.
Elster
Elster is a river in central Europe, primarily flowing through the German state of Saxony and its surrounding regions.
- 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: Albertinum Triple: [Dresden, hasMuseum, Albertinum]
Generated description
The Albertinum is a renowned art museum in Dresden, Germany, best known for its extensive collections of modern art and sculpture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Albertinum Target entity description: The Albertinum is a renowned art museum in Dresden, Germany, best known for its extensive collections of modern art and sculpture.
-
A.
Canova
Canova was a renowned Italian Neoclassical sculptor celebrated for his marble masterpieces depicting mythological and historical subjects.
-
B.
Barberini
Barberini is an influential Italian noble family from Florence and Rome, best known for producing Pope Urban VIII and for its major patronage of Baroque art and architecture.
-
C.
Carolinum
Carolinum is the historic central building and ceremonial heart of Charles University in Prague, serving as one of the oldest surviving university complexes in Europe.
-
D.
Emtage
Emtage is the surname of Alan Emtage, the Barbadian computer scientist best known for creating Archie, the first Internet search engine.
-
E.
Elster
Elster is a river in central Europe, primarily flowing through the German state of Saxony and its surrounding regions.
- 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_69a8861acab88190bb43cde203429399 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa635a5c8c8190b3fbf977a93838fd |
completed | March 6, 2026, 5:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8aefefc881908acd48eebc67c6ec |
completed | March 8, 2026, 2:42 p.m. |
| NEDg | Description generation | batch_69ad979ce880819089daecbc8455ec84 |
completed | March 8, 2026, 3:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad9ba92a848190918a8748fb65348a |
completed | March 8, 2026, 3:54 p.m. |
Created at: March 4, 2026, 7:30 p.m.