Triple
T4060866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berlin U-Bahn line U7 |
E86206
|
entity |
| Predicate | interchangeStation |
P15892
|
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: [Berlin U-Bahn line U7, interchangeStation, Mehringdamm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mehringdamm Context triple: [Berlin U-Bahn line U7, interchangeStation, 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.
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.
-
C.
Brückenstraße
Brückenstraße is a street in Chemnitz, Germany, known for being the prominent urban backdrop in front of the iconic Karl Marx Monument.
-
D.
Chausseestraße
Chausseestraße is a major historic street in Berlin, Germany, known for its cultural landmarks and central location.
-
E.
Friedrichstraße
Friedrichstraße is a major central Berlin transport hub and historic thoroughfare known for its shopping, cultural venues, and role as a former border crossing during the Cold War.
- 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_69aed93c69208190a4efac0efe3cd69b |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefbd4acb0819093bcffcd05ed8e6f |
completed | March 9, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a836606c81909acd0f0e31448ba9 |
completed | March 14, 2026, 6:25 p.m. |
Created at: March 9, 2026, 3:38 p.m.