Triple
T14930253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yorckstraße |
E372241
|
entity |
| Predicate | connectedTo |
P37
|
FINISHED |
| Object | Mehringdamm |
E74577
|
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: Mehringdamm | Statement: [Yorckstraße, connectedTo, Mehringdamm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mehringdamm Context triple: [Yorckstraße, connectedTo, Mehringdamm]
-
A.
Mehringdamm
chosen
Mehringdamm is a Berlin U-Bahn station in the Kreuzberg district that serves as an interchange between lines U6 and U7.
-
B.
Hohenzollerndamm
Hohenzollerndamm is a major thoroughfare in Berlin known for its residential buildings, offices, and role as an important traffic artery in the Wilmersdorf district.
-
C.
Malchower Chaussee
Malchower Chaussee is a main road in Berlin that serves as a key access route to the Malchow locality.
-
D.
Tempelhofer Damm
Tempelhofer Damm is a major thoroughfare in Berlin’s Tempelhof district, running alongside the former Tempelhof Airport and connecting central Berlin with the city’s southern suburbs.
-
E.
Kurfürstendamm
Kurfürstendamm is one of Berlin’s most famous boulevards, known for its upscale shops, restaurants, and vibrant urban life.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded64550dc8190ba44120df00ba498 |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c2d21348190a8045cf1847396e0 |
completed | May 9, 2026, 3:01 p.m. |
Created at: April 10, 2026, 2:36 a.m.