Triple

T3443669
Position Surface form Disambiguated ID Type / Status
Subject Braunschweig E72622 entity
Predicate hasRailwayStation P918 FINISHED
Object Braunschweig Hauptbahnhof E207868 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: Braunschweig Hauptbahnhof | Statement: [Braunschweig, hasRailwayStation, Braunschweig Hauptbahnhof]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Braunschweig Hauptbahnhof
Context triple: [Braunschweig, hasRailwayStation, Braunschweig Hauptbahnhof]
  • A. Braunschweig Hauptbahnhof chosen
    Braunschweig Hauptbahnhof is the main railway station and central transportation hub of the city of Braunschweig in Lower Saxony, Germany.
  • B. Hannover Hauptbahnhof
    Hannover Hauptbahnhof is the main central railway station of Hanover, Germany, serving as a major national and international transport hub.
  • C. Göttingen railway station
    Göttingen railway station is a major rail hub in Lower Saxony, Germany, serving as an important stop on the country’s high-speed and regional rail networks.
  • D. Osnabrück Hauptbahnhof
    Osnabrück Hauptbahnhof is the main railway station and central transport hub of the city of Osnabrück in Lower Saxony, Germany.
  • E. Nürnberg Hauptbahnhof
    Nürnberg Hauptbahnhof is the main railway station and a central public transport hub in Nuremberg, Germany, serving regional, long-distance, and urban transit including the U-Bahn network.
  • 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_69ad85b05c848190b7a28ceec2bd7b74 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adba2a605c8190a0eafdf6f25b1e38 completed March 8, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69b360da33e081908630e3f29ea01530 completed March 13, 2026, 12:56 a.m.
Created at: March 8, 2026, 3:16 p.m.