Triple
T16198569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prinzenstraße |
E393134
|
entity |
| Predicate | hasAdjacentStreet |
P8235
|
FINISHED |
| Object | Prinzenstraße |
—
|
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: Prinzenstraße | Statement: [Prinzenstraße, hasAdjacentStreet, Prinzenstraße]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prinzenstraße Context triple: [Prinzenstraße, hasAdjacentStreet, Prinzenstraße]
-
A.
Prinzenstraße
chosen
Prinzenstraße is a Berlin U-Bahn station on line U1 located in the Kreuzberg district.
-
B.
Yorckstraße
Yorckstraße is a major street and transport corridor in Berlin’s Kreuzberg and Schöneberg districts, known for its multiple S-Bahn stations and proximity to several historic cemeteries and railway viaducts.
-
C.
Maximilianstraße
Maximilianstraße is one of Munich’s most famous boulevards, known for its luxury boutiques, grand architecture, and cultural landmarks.
-
D.
Kurfürstenstraße
Kurfürstenstraße is a street located within Potsdam’s historic Dutch Quarter, an 18th-century neighborhood known for its distinctive red-brick Dutch-style architecture.
-
E.
Prinz-Eugen-Straße
Prinz-Eugen-Straße is a major street in Vienna, Austria, known for its historic buildings and central location near key city landmarks.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e222dc6b1c8190a3d8a6451ed8b95a |
completed | April 17, 2026, 12:09 p.m. |
Created at: April 10, 2026, 5:03 a.m.