Triple

T6335989
Position Surface form Disambiguated ID Type / Status
Subject Berlin Hauptbahnhof E142491 entity
Predicate serves P98 FINISHED
Object Nightjet E125684 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: Nightjet | Statement: [Berlin Hauptbahnhof, serves, Nightjet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nightjet
Context triple: [Berlin Hauptbahnhof, serves, Nightjet]
  • A. Nightjet chosen
    Nightjet is a network of overnight long-distance passenger trains operated by Austrian Federal Railways (ÖBB) across several European countries.
  • B. Iberia Express
    Iberia Express is a Spanish low-cost airline based in Madrid that operates short- and medium-haul flights, primarily within Europe, as part of the Iberia Group.
  • C. Interflug
    Interflug was the state-owned national airline of East Germany, operating international and domestic flights primarily within the Eastern Bloc during the Cold War.
  • D. The Ryan Express
    The Ryan Express is the famous nickname of Hall of Fame Major League Baseball pitcher Nolan Ryan, renowned for his overpowering fastball and record-setting strikeout totals.
  • E. Brussels Airlines
    Brussels Airlines is the flag carrier airline of Belgium, operating flights across Europe, Africa, and other regions as part of the Lufthansa Group.
  • 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_69c008d4d8e88190ad301c05b08722ac completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0654a88a881908d5cb2aa7f22c4c7 completed March 22, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6042ab22c8190a7486049f45a546b completed March 27, 2026, 4:14 a.m.
Created at: March 22, 2026, 4:30 p.m.