Triple
T19414469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bern Old Town |
E485671
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Kramgasse |
—
|
NE NERFINISHED |
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: Kramgasse | Statement: [Bern Old Town, hasPart, Kramgasse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kramgasse Context triple: [Bern Old Town, hasPart, Kramgasse]
-
A.
Kramgasse
chosen
Kramgasse is a historic main street in Bern’s Old City, famed for its arcaded buildings, fountains, and well-preserved medieval character.
-
B.
Drosselgasse
Drosselgasse is a famous narrow cobblestone lane in Rüdesheim am Rhein, Germany, renowned for its wine taverns, live music, and lively tourist atmosphere in the Rhine Valley wine region.
-
C.
Burggasse
Burggasse is a notable street in Graz, Austria, known for its historic architecture and proximity to major landmarks such as the Mausoleum of Emperor Ferdinand II.
-
D.
Bognergasse
Bognergasse is a historic side street in Vienna’s city center, branching off the famous Graben and lined with traditional shops and period architecture.
-
E.
Spiegelgasse
Spiegelgasse is a historic street in Vienna’s city center, known for its traditional architecture and proximity to major landmarks in the Innere Stadt.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62af834fc81908cb176076de10c1c |
completed | April 20, 2026, 1:32 p.m. |
Created at: April 10, 2026, 1:37 p.m.