Triple

T13802715
Position Surface form Disambiguated ID Type / Status
Subject Hapag-Lloyd Express E331679 entity
Predicate notableRoute P22 FINISHED
Object Cologne–Munich
Cologne–Munich is a major domestic air route in Germany connecting the cities of Cologne and Munich.
 E1066056 NE FINISHED

How this triple was built (4 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: Cologne–Munich | Statement: [Hapag-Lloyd Express, notableRoute, Cologne–Munich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cologne–Munich
Context triple: [Hapag-Lloyd Express, notableRoute, Cologne–Munich]
  • A. Hamburg–Munich
    Hamburg–Munich is a major long-distance rail corridor in Germany connecting the northern port city of Hamburg with the southern metropolis of Munich.
  • B. Berlin–Munich
    Berlin–Munich is a major high-speed rail corridor in Germany connecting the capital with Bavaria’s largest city.
  • C. Cologne–Berlin
    Cologne–Berlin is a major domestic air route in Germany that connected the cities of Cologne and Berlin and was notably operated by the low-cost carrier Hapag-Lloyd Express.
  • D. Frankfurt–Cologne
    Frankfurt–Cologne is a major high-speed rail corridor in Germany connecting the financial hub of Frankfurt with the Rhine metropolis of Cologne.
  • E. Vienna–Hamburg
    Vienna–Hamburg is an international overnight rail connection linking Austria’s capital with the major German port city of Hamburg.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Cologne–Munich
Triple: [Hapag-Lloyd Express, notableRoute, Cologne–Munich]
Generated description
Cologne–Munich is a major domestic air route in Germany connecting the cities of Cologne and Munich.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cologne–Munich
Target entity description: Cologne–Munich is a major domestic air route in Germany connecting the cities of Cologne and Munich.
  • A. Hamburg–Munich
    Hamburg–Munich is a major long-distance rail corridor in Germany connecting the northern port city of Hamburg with the southern metropolis of Munich.
  • B. Berlin–Munich
    Berlin–Munich is a major high-speed rail corridor in Germany connecting the capital with Bavaria’s largest city.
  • C. Cologne–Berlin
    Cologne–Berlin is a major domestic air route in Germany that connected the cities of Cologne and Berlin and was notably operated by the low-cost carrier Hapag-Lloyd Express.
  • D. Frankfurt–Cologne
    Frankfurt–Cologne is a major high-speed rail corridor in Germany connecting the financial hub of Frankfurt with the Rhine metropolis of Cologne.
  • E. Vienna–Hamburg
    Vienna–Hamburg is an international overnight rail connection linking Austria’s capital with the major German port city of Hamburg.
  • F. None of above. chosen

Provenance (5 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de026c36108190a7436034a730a261 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0e5251c81909f3f40dcdea1772f completed May 3, 2026, 9:40 p.m.
NEDg Description generation batch_69f7c1e73fb481909f89ab3c0e9fb7d0 completed May 3, 2026, 9:45 p.m.
NED2 Entity disambiguation (via description) batch_69f7c3396f7c8190987079bf24ac8695 completed May 3, 2026, 9:50 p.m.
Created at: April 9, 2026, 10:12 p.m.