Triple
T19414470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bern Old Town |
E485671
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Marktgasse |
—
|
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: Marktgasse | Statement: [Bern Old Town, hasPart, Marktgasse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marktgasse Context triple: [Bern Old Town, hasPart, Marktgasse]
-
A.
Marktgasse
chosen
Marktgasse is a central historic street in Bern, Switzerland, known for its arcaded buildings, shops, and proximity to landmarks such as the Käfigturm.
-
B.
Schauplatzgasse
Schauplatzgasse is a street in the historic center of Bern, Switzerland, located near the Federal Palace and the Bundesplatz.
-
C.
Johannesgasse
Johannesgasse is a historic street in central Vienna, Austria, known for its proximity to the Ringstrasse and several notable cultural and architectural landmarks.
-
D.
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.
-
E.
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.
- 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.