Triple
T19062975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piazza federale |
E466581
|
entity |
| Predicate | hasNearbyStreet |
P8235
|
FINISHED |
| Object | Schauplatzgasse |
—
|
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: Schauplatzgasse | Statement: [Piazza federale, hasNearbyStreet, Schauplatzgasse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schauplatzgasse Context triple: [Piazza federale, hasNearbyStreet, Schauplatzgasse]
-
A.
Schauplatzgasse
chosen
Schauplatzgasse is a street in the historic center of Bern, Switzerland, located near the Federal Palace and the Bundesplatz.
-
B.
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.
-
C.
Operngasse
Operngasse is a street in central Vienna, Austria, running near major landmarks such as the Vienna State Opera and Karlsplatz.
-
D.
Marktgasse
Marktgasse is a central historic street in Bern, Switzerland, known for its arcaded buildings, shops, and proximity to landmarks such as the Käfigturm.
-
E.
Hohle Gasse
Hohle Gasse is a historic narrow lane in Switzerland famously associated with the William Tell legend and the ambush of the tyrant Gessler.
- 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_69d8dd040fb881909af2a964f65ad208 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e195ac048190a57b57e585d022d4 |
completed | April 20, 2026, 8:19 a.m. |
Created at: April 10, 2026, 12:03 p.m.