Triple

T5313317
Position Surface form Disambiguated ID Type / Status
Subject InterCityExpress E119084 entity
Predicate notableRoute P22 FINISHED
Object Frankfurt–Brussels
Frankfurt–Brussels is a major international high-speed rail route linking Germany and Belgium, commonly served by InterCityExpress (ICE) trains.
 E511259 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: Frankfurt–Brussels | Statement: [InterCityExpress, notableRoute, Frankfurt–Brussels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Frankfurt–Brussels
Context triple: [InterCityExpress, notableRoute, Frankfurt–Brussels]
  • A. Paris–Brussels
    Paris–Brussels is a major international high-speed rail corridor linking the capitals of France and Belgium.
  • B. Frankfurt–Paris
    Frankfurt–Paris is a major international high-speed rail connection linking Germany and France, commonly served by InterCityExpress (ICE) trains.
  • C. Brussels–Cologne
    Brussels–Cologne is a major international high-speed rail corridor linking Belgium’s capital with the German city of Cologne.
  • D. London–Brussels
    London–Brussels is a major international high-speed rail route linking the United Kingdom and Belgium via the Channel Tunnel.
  • E. Brussels–Amsterdam
    Brussels–Amsterdam is a major international high-speed rail route connecting the capitals of Belgium and the Netherlands.
  • 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: Frankfurt–Brussels
Triple: [InterCityExpress, notableRoute, Frankfurt–Brussels]
Generated description
Frankfurt–Brussels is a major international high-speed rail route linking Germany and Belgium, commonly served by InterCityExpress (ICE) trains.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Frankfurt–Brussels
Target entity description: Frankfurt–Brussels is a major international high-speed rail route linking Germany and Belgium, commonly served by InterCityExpress (ICE) trains.
  • A. Paris–Brussels
    Paris–Brussels is a major international high-speed rail corridor linking the capitals of France and Belgium.
  • B. Frankfurt–Paris
    Frankfurt–Paris is a major international high-speed rail connection linking Germany and France, commonly served by InterCityExpress (ICE) trains.
  • C. Brussels–Cologne
    Brussels–Cologne is a major international high-speed rail corridor linking Belgium’s capital with the German city of Cologne.
  • D. London–Brussels
    London–Brussels is a major international high-speed rail route linking the United Kingdom and Belgium via the Channel Tunnel.
  • E. Brussels–Amsterdam
    Brussels–Amsterdam is a major international high-speed rail route connecting the capitals of Belgium and the Netherlands.
  • 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_69bd446b57bc8190a513d2e6c40314f3 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd8536c06c81908ef8ba8c39b4fa30 completed March 20, 2026, 5:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf188988688190b4b08b5e0cda8cf5 completed March 21, 2026, 10:15 p.m.
NEDg Description generation batch_69bf18f90d9081908a47e69e82ed2940 completed March 21, 2026, 10:17 p.m.
NED2 Entity disambiguation (via description) batch_69bf195e7be88190a7655d18471b1662 completed March 21, 2026, 10:19 p.m.
Created at: March 20, 2026, 1:54 p.m.