Triple
T4747015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bundesplatz |
E105383
|
entity |
| Predicate | connectsWith |
P37
|
FINISHED |
| Object | Bundesgasse |
E422773
|
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: Bundesgasse | Statement: [Bundesplatz, connectsWith, Bundesgasse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bundesgasse Context triple: [Bundesplatz, connectsWith, Bundesgasse]
-
A.
Königsplatz
Königsplatz is a central square in the Bavarian city of Fürth, Germany, known as an important local transport and urban hub.
-
B.
Ballhausgasse
Ballhausgasse is a street in central Vienna, Austria, located near the historic Ballhausplatz and the Austrian federal government district.
-
C.
Friedrichstraße
Friedrichstraße is a major central Berlin transport hub and historic thoroughfare known for its shopping, cultural venues, and role as a former border crossing during the Cold War.
-
D.
Kochergasse
chosen
Kochergasse is a central street in Bern, Switzerland, situated in the government district close to the Federal Palace and other key federal institutions.
-
E.
Savignyplatz
Savignyplatz is a well-known square and surrounding neighborhood in Berlin’s Charlottenburg district, noted for its lively cafés, restaurants, and historic urban charm.
- 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_69bd43f07fa48190954317d01600994a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64c3fcb081909b1fe867b4adac8b |
completed | March 20, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be43b24440819081f3932eb6b68b48 |
completed | March 21, 2026, 7:07 a.m. |
Created at: March 20, 2026, 1:20 p.m.