Triple

T14257438
Position Surface form Disambiguated ID Type / Status
Subject Mitte E353420 entity
Predicate contains P35 FINISHED
Object Berlin Gesundbrunnen station E618832 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: Berlin Gesundbrunnen station | Statement: [Mitte, contains, Berlin Gesundbrunnen station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berlin Gesundbrunnen station
Context triple: [Mitte, contains, Berlin Gesundbrunnen station]
  • A. 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.
  • B. Berlin Waidmannslust station
    Berlin Waidmannslust station is a suburban railway station in Berlin’s Waidmannslust district, serving as a stop on the city’s S-Bahn network.
  • C. 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.
  • D. Berlin-Westkreuz station
    Berlin-Westkreuz station is a major Berlin S-Bahn interchange in the west of the city, serving as a key junction for multiple suburban rail lines.
  • E. Berlin Nikolassee station
    Berlin Nikolassee station is a railway station in Berlin’s Nikolassee district that serves regional and S-Bahn commuter trains.
  • 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6352611c819090d062fe3079cd03 completed April 14, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d7a13288190a73683e275f6bbc0 completed May 8, 2026, 4:58 a.m.
Created at: April 10, 2026, 1:09 a.m.