Triple
T15735799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schulstraße (Berlin) |
E381466
|
entity |
| Predicate | hasNearbyPlace |
P3449
|
FINISHED |
| Object | Müllerstraße (Berlin) |
E376992
|
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: Müllerstraße (Berlin) | Statement: [Schulstraße (Berlin), hasNearbyPlace, Müllerstraße (Berlin)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Müllerstraße (Berlin) Context triple: [Schulstraße (Berlin), hasNearbyPlace, Müllerstraße (Berlin)]
-
A.
Müllerstraße
chosen
Müllerstraße is a major thoroughfare in Berlin’s Wedding district, known for its dense urban character, shops, and public transport connections.
-
B.
Amrumer Straße
Amrumer Straße is a Berlin U-Bahn station on the U9 line located in the Wedding district of the city.
-
C.
Reinickendorfer Straße
Reinickendorfer Straße is a Berlin U-Bahn station on line U6 located in the central district of Mitte.
-
D.
Michaelerstraße
Michaelerstraße is a historic street in central Vienna, Austria, forming part of the old city’s prestigious area near the Hofburg Palace.
-
E.
Kröpeliner Straße
Kröpeliner Straße is a major pedestrian shopping street in the historic center of Rostock, Germany, known for its shops, cafés, and role as a central venue for city events.
- 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fd586a88190aa1b1b88368d386f |
completed | April 16, 2026, 2:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff8300a4248190ba52573b57f31b36 |
completed | May 9, 2026, 6:54 p.m. |
Created at: April 10, 2026, 4:46 a.m.