Triple
T22425215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rixdorf |
E554349
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Karl-Marx-Straße |
—
|
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: Karl-Marx-Straße | Statement: [Rixdorf, locatedNear, Karl-Marx-Straße]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karl-Marx-Straße Context triple: [Rixdorf, locatedNear, Karl-Marx-Straße]
-
A.
Karl-Marx-Straße
chosen
Karl-Marx-Straße is a major commercial and residential thoroughfare in Berlin’s Neukölln district, known for its dense shops, multicultural atmosphere, and heavy traffic.
-
B.
Karl-Liebknecht-Straße
Karl-Liebknecht-Straße is a major thoroughfare in central Berlin that runs through the historic city center near Alexanderplatz and several notable landmarks.
-
C.
Karl-Marx-Allee
Karl-Marx-Allee is a monumental socialist boulevard in Berlin, known for its grand Stalinist architecture and historic role as a showcase of East German urban planning.
-
D.
Leopoldstraße
Leopoldstraße is a major boulevard in Munich known for its vibrant cafés, shops, and cultural life, especially in the Schwabing district.
-
E.
Kantstraße
Kantstraße is a major street in Berlin’s Charlottenburg district, known for its vibrant mix of shops, restaurants, and cultural venues.
- 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_69e11e4f2d0c819091aa3558ea2ee630 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15a2c47bc81908b8265d83fa6fb65 |
completed | April 29, 2026, 1:09 a.m. |
Created at: April 16, 2026, 8:47 p.m.