Triple

T17463582
Position Surface form Disambiguated ID Type / Status
Subject Zehlendorf E425218 entity
Predicate transportConnection P1298 FINISHED
Object Zehlendorf station — NE NERFINISHED

How this triple was built (3 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: Zehlendorf station | Statement: [Zehlendorf, transportConnection, Zehlendorf station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zehlendorf station
Context triple: [Zehlendorf, transportConnection, Zehlendorf station]
  • A. Berlin-Tempelhof station
    Berlin-Tempelhof station is a transport hub in Berlin that combines regional and S-Bahn rail services and connects with the nearby Tempelhof U-Bahn station.
  • B. Berlin-Heiligensee station
    Berlin-Heiligensee station is a local railway station in Berlin’s Heiligensee district, serving as a stop on the city’s S-Bahn suburban rail network.
  • C. Pankow station
    Pankow station is a major public transport interchange in Berlin that connects S-Bahn, U-Bahn, and regional rail services in the northern part of the city.
  • D. Berlin-Schöneberg station
    Berlin-Schöneberg station is a railway station in Berlin’s Schöneberg district, serving as a local transport hub for S-Bahn and regional rail services.
  • E. Buckower Chaussee station
    Buckower Chaussee station is a Berlin S-Bahn railway station in the city's southern area, providing local commuter rail services and connections on the network.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zehlendorf station
Target entity description: Zehlendorf station is a railway station in the Zehlendorf district of Berlin, Germany, serving as a local stop on the city's S-Bahn suburban rail network.
  • A. Berlin-Tempelhof station
    Berlin-Tempelhof station is a transport hub in Berlin that combines regional and S-Bahn rail services and connects with the nearby Tempelhof U-Bahn station.
  • B. Berlin-Heiligensee station
    Berlin-Heiligensee station is a local railway station in Berlin’s Heiligensee district, serving as a stop on the city’s S-Bahn suburban rail network.
  • C. Pankow station
    Pankow station is a major public transport interchange in Berlin that connects S-Bahn, U-Bahn, and regional rail services in the northern part of the city.
  • D. Berlin-Schöneberg station
    Berlin-Schöneberg station is a railway station in Berlin’s Schöneberg district, serving as a local transport hub for S-Bahn and regional rail services.
  • E. Buckower Chaussee station
    Buckower Chaussee station is a Berlin S-Bahn railway station in the city's southern area, providing local commuter rail services and connections on the network.
  • F. None of above. chosen

Provenance (2 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_69d889dbc2e88190b18ea6115e819258 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451a5bba08190b61a21fa7538ed69 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:47 a.m.