Triple

T13802717
Position Surface form Disambiguated ID Type / Status
Subject Hapag-Lloyd Express E331679 entity
Predicate notableRoute P22 FINISHED
Object Cologne–Paris
Cologne–Paris is a former low-cost international air route connecting the German city of Cologne with the French capital, Paris.
 E1068469 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–Paris | Statement: [Hapag-Lloyd Express, notableRoute, Cologne–Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cologne–Paris
Context triple: [Hapag-Lloyd Express, notableRoute, Cologne–Paris]
  • A. Frankfurt–Paris
    Frankfurt–Paris is a major international high-speed rail connection linking Germany and France, commonly served by InterCityExpress (ICE) trains.
  • B. Brussels–Cologne
    Brussels–Cologne is a major international high-speed rail corridor linking Belgium’s capital with the German city of Cologne.
  • C. Paris–Strasbourg
    Paris–Strasbourg is a major high-speed rail corridor in France linking the capital with the Alsatian city near the German border.
  • D. Paris–Brussels
    Paris–Brussels is a major international high-speed rail corridor linking the capitals of France and Belgium.
  • E. 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.
  • 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–Paris
Triple: [Hapag-Lloyd Express, notableRoute, Cologne–Paris]
Generated description
Cologne–Paris is a former low-cost international air route connecting the German city of Cologne with the French capital, Paris.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cologne–Paris
Target entity description: Cologne–Paris is a former low-cost international air route connecting the German city of Cologne with the French capital, Paris.
  • A. Frankfurt–Paris
    Frankfurt–Paris is a major international high-speed rail connection linking Germany and France, commonly served by InterCityExpress (ICE) trains.
  • B. Brussels–Cologne
    Brussels–Cologne is a major international high-speed rail corridor linking Belgium’s capital with the German city of Cologne.
  • C. Paris–Strasbourg
    Paris–Strasbourg is a major high-speed rail corridor in France linking the capital with the Alsatian city near the German border.
  • D. Paris–Brussels
    Paris–Brussels is a major international high-speed rail corridor linking the capitals of France and Belgium.
  • E. 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.
  • 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_69f7c70261c8819099408952f137456d completed May 3, 2026, 10:06 p.m.
NEDg Description generation batch_69f7c868bdfc8190a13379363d01568d completed May 3, 2026, 10:12 p.m.
NED2 Entity disambiguation (via description) batch_69f7c9732d188190a8a7151d21e0a310 completed May 3, 2026, 10:17 p.m.
Created at: April 9, 2026, 10:12 p.m.