Triple
T5702004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Museumstrasse station area |
E125685
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Museumstrasse |
E542984
|
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: Museumstrasse | Statement: [Museumstrasse station area, adjacentTo, Museumstrasse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Museumstrasse Context triple: [Museumstrasse station area, adjacentTo, Museumstrasse]
-
A.
Museumstrasse
chosen
Museumstrasse is a street that lends its name to the surrounding station area, likely serving as a notable local thoroughfare or landmark.
-
B.
Paradestraße
Paradestraße is a Berlin U-Bahn station on the north–south route in the Tempelhof-Schöneberg district, known for serving the U6 line.
-
C.
Chausseestraße
Chausseestraße is a major historic street in Berlin, Germany, known for its cultural landmarks and central location.
-
D.
Prinzenstraße
Prinzenstraße is a Berlin U-Bahn station on line U1 located in the Kreuzberg district.
-
E.
Kaufingerstraße
Kaufingerstraße is one of Munich’s main and oldest pedestrian shopping streets, lined with stores and historic buildings in the city center.
- 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_69c0082c96988190b3a6a201edce472a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0245581988190a819b8137533ed31 |
completed | March 22, 2026, 5:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c097e576a481909b918bfc93082fa9 |
completed | March 23, 2026, 1:31 a.m. |
Created at: March 22, 2026, 3:45 p.m.