Triple

T14266109
Position Surface form Disambiguated ID Type / Status
Subject Gesundbrunnen E353647 entity
Predicate hasS-BahnStation P918 FINISHED
Object Berlin-Gesundbrunnen station E618832 NE FINISHED

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: Berlin-Gesundbrunnen station | Statement: [Gesundbrunnen, hasS-BahnStation, Berlin-Gesundbrunnen station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berlin-Gesundbrunnen station
Context triple: [Gesundbrunnen, hasS-BahnStation, Berlin-Gesundbrunnen station]
  • A. 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.
  • B. Berlin Gesundbrunnen station chosen
    Berlin Gesundbrunnen station is a major railway and public transport hub in Berlin, Germany, serving regional, long-distance, and urban transit lines.
  • C. Kurfürstendamm station
    Kurfürstendamm station is a major Berlin U-Bahn interchange located beneath the famous Kurfürstendamm boulevard in the Charlottenburg district.
  • D. 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.
  • E. Berlin-Karlshorst station
    Berlin-Karlshorst station is a railway station in eastern Berlin that serves the Karlshorst area with regional and S-Bahn connections.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasS-BahnStation
Context triple: [Gesundbrunnen, hasS-BahnStation, Berlin-Gesundbrunnen station]
  • A. hasRailwayStationOn
    Indicates that a railway station is located on or serves a particular railway line, route, or network segment.
  • B. hasUBahnService
    Indicates that a location or facility is served by, or has access to, an underground metro (U-Bahn) transit line.
  • C. hasRailStation
    Indicates that one entity possesses, contains, or is served by a rail station.
  • D. hasRailwayStation chosen
    Indicates that a place or location is served by, or contains, a railway station.
  • E. hasBusStation
    Indicates that a place or area contains or is served by a bus station.
  • F. None of above.

Provenance (4 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6357a8188190ba518a486521052b completed April 14, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda904f8ac8190a4206b6ab6ee812c completed May 8, 2026, 9:12 a.m.
PD Predicate disambiguation batch_69de2a7d586c8190846ff242bbf5ac53 completed April 14, 2026, 11:52 a.m.
Created at: April 10, 2026, 1:09 a.m.