Triple
T8334828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brühl's Terrace |
E195161
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Albertinum |
E195164
|
NE FINISHED |
How this triple was built (2 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: [Brühl's Terrace, adjacentTo, Albertinum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Albertinum Context triple: [Brühl's Terrace, adjacentTo, Albertinum]
-
A.
Albertinum
chosen
The Albertinum is a renowned art museum in Dresden, Germany, best known for its extensive collections of modern art and sculpture.
-
B.
Schroda
Schroda is a town in western Poland, historically part of the Prussian Province of Posen, known today as Środa Wielkopolska.
-
C.
Koldewey
Koldewey is a German surname most notably associated with Robert Koldewey, the archaeologist who led the excavation of ancient Babylon.
-
D.
Oetari
Oetari was the first wife of Sukarno (born Kusno Sosrodihardjo), Indonesia’s future first president.
-
E.
Alberoni
Alberoni is an Italian surname most notably associated with Giulio Alberoni, an influential 18th-century cardinal and statesman.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca82e87f2c8190bdb71ee29dfc642d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fd2ca648190991e398ba70caf8d |
completed | March 31, 2026, 8:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd95d19178819090815692e847c4e0 |
completed | April 1, 2026, 10:01 p.m. |
Created at: March 30, 2026, 5:57 p.m.