Triple
T14755916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoher Markt |
E346727
|
entity |
| Predicate | hasNearbyStreet |
P8235
|
FINISHED |
| Object | Judengasse |
E1117234
|
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: Judengasse | Statement: [Hoher Markt, hasNearbyStreet, Judengasse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Judengasse Context triple: [Hoher Markt, hasNearbyStreet, Judengasse]
-
A.
Judengasse
chosen
Judengasse is a historic street in Vienna’s Innere Stadt (1st District), known for its medieval origins and association with the city’s former Jewish quarter.
-
B.
Operngasse
Operngasse is a street in central Vienna, Austria, running near major landmarks such as the Vienna State Opera and Karlsplatz.
-
C.
Schauplatzgasse
Schauplatzgasse is a street in the historic center of Bern, Switzerland, located near the Federal Palace and the Bundesplatz.
-
D.
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.
-
E.
Marktgasse
Marktgasse is a central historic street in Bern, Switzerland, known for its arcaded buildings, shops, and proximity to landmarks such as the Käfigturm.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7ef0fd48190bd4a8af128ef274c |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cea5d348190a84970da131292ee |
completed | May 8, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:30 a.m.