Triple
T5961081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Museum Mile (Bonn) |
E132636
|
entity |
| Predicate | GermanName |
P6492
|
FINISHED |
| Object | Museumsmeile |
E132636
|
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: Museumsmeile | Statement: [Museum Mile (Bonn), GermanName, Museumsmeile]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Museumsmeile Context triple: [Museum Mile (Bonn), GermanName, Museumsmeile]
-
A.
Museum Mile Bonn
Museum Mile Bonn is a cultural district in Bonn, Germany, known for its dense concentration of major museums and art institutions along a short stretch of the city.
-
B.
Museum Island
Museum Island is a UNESCO World Heritage–listed complex of renowned museums on an island in central Berlin, Germany.
-
C.
Bröhan Museum
The Bröhan Museum is a Berlin museum renowned for its extensive collection of Art Nouveau, Art Deco, and Functionalism decorative arts and design.
-
D.
Museum Mile
Museum Mile is a renowned stretch of New York City's Fifth Avenue famous for its dense concentration of major art and cultural museums.
-
E.
Museum Mile
chosen
Museum Mile is a prominent cultural district in Bonn, Germany, known for its dense concentration of major museums and art institutions.
- 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_69c0086c2364819091e9fe2f58fa2517 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c039fd6dd48190a6020bef38b1be82 |
completed | March 22, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e3e8f234819099336503a797e55b |
completed | March 23, 2026, 6:55 a.m. |
Created at: March 22, 2026, 4:02 p.m.