Triple
T23409911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ernst-Reuter-Platz |
E560037
|
entity |
| Predicate | roadJunctionOf |
P6234
|
FINISHED |
| Object | Straße des 17. Juni |
—
|
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: Straße des 17. Juni | Statement: [Ernst-Reuter-Platz, roadJunctionOf, Straße des 17. Juni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Straße des 17. Juni Context triple: [Ernst-Reuter-Platz, roadJunctionOf, Straße des 17. Juni]
-
A.
Straße des 17. Juni
chosen
Straße des 17. Juni is a major boulevard in central Berlin, Germany, running through the Tiergarten park and serving as a key ceremonial and traffic artery of the city.
-
B.
Bundesallee
Bundesallee is a major arterial street in Berlin, Germany, running through the southwestern districts and serving as an important commercial and traffic axis.
-
C.
Perusastraße
Perusastraße is a street in central Munich, Germany, located near Odeonsplatz in the historic city center.
-
D.
Berliner Allee
Berliner Allee is a major thoroughfare in Berlin that runs through the Weißensee district and serves as an important local traffic artery.
-
E.
Stauffenbergstraße
Stauffenbergstraße is a street in Berlin named after Claus von Stauffenberg, known for its association with sites related to the German resistance against Nazism.
- 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_69e2454b3a5881909c64773dc8a5d289 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a510b3848190ae42679ef0bcd424 |
completed | April 29, 2026, 6:28 a.m. |
Created at: April 17, 2026, 5:38 p.m.