Triple
T15483909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Müllerstraße |
E376992
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Bezirk Mitte |
E167243
|
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: Bezirk Mitte | Statement: [Müllerstraße, partOf, Bezirk Mitte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bezirk Mitte Context triple: [Müllerstraße, partOf, Bezirk Mitte]
-
A.
Berliner Bezirk Spandau
Berliner Bezirk Spandau is a historic western district of Berlin, Germany, known for its medieval old town, Spandau Citadel fortress, and mix of residential, industrial, and green areas along the Havel River.
-
B.
Friedrichshain
Friedrichshain is a vibrant district in Berlin known for its alternative culture, nightlife, and historic sites including remnants of the Berlin Wall.
-
C.
Neukölln
Neukölln is a diverse, historically working-class district in southern Berlin known for its vibrant multicultural community, nightlife, and rapidly changing urban landscape.
-
D.
Prenzlauer Berg
Prenzlauer Berg is a trendy, gentrified district in Berlin known for its historic architecture, vibrant café culture, and popular nightlife.
-
E.
Berlin-Mitte locality
chosen
Berlin-Mitte locality is a central urban district of Berlin known for its historic core, major government buildings, and many of the city’s most prominent cultural and tourist landmarks.
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f8e6ff08190b130b3a38f4190e7 |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f29cee481908f0f81c4cc581f7f |
completed | May 9, 2026, 4:22 p.m. |
Created at: April 10, 2026, 3:45 a.m.