Triple

T8445133
Position Surface form Disambiguated ID Type / Status
Subject Paris–Cologne E199653 entity
Predicate usesRollingStock P5426 FINISHED
Object ICE
ICE is Germany’s high-speed InterCity Express train service, known for fast long-distance connections across major German and neighboring European cities.
E301224 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: ICE | Statement: [Paris–Cologne, usesRollingStock, ICE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ICE
Context triple: [Paris–Cologne, usesRollingStock, ICE]
  • A. ICE
    ICE is the stock ticker symbol for Intercontinental Exchange, a major global operator of financial exchanges and clearing houses.
  • B. ICE
    ICE is a leading professional association and learned society that supports and regulates civil engineers, primarily in the United Kingdom but with a global membership.
  • C. ICE
    ICE (Interactive Connectivity Establishment) is a framework used in real-time communication systems to discover and negotiate network paths for peer-to-peer connections across NATs and firewalls.
  • D. ICE
    ICE is a research institute at Johns Hopkins University focused on advancing the understanding and engineering of cells for biomedical applications.
  • E. ICE
    ICE is a U.S. federal agency under the Department of Homeland Security responsible for enforcing immigration laws and investigating customs, border, and national security-related offenses.
  • 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: ICE
Triple: [Paris–Cologne, usesRollingStock, ICE]
Generated description
ICE is Germany’s high-speed InterCity Express train service, known for fast long-distance connections across major German and neighboring European cities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ICE
Target entity description: ICE is Germany’s high-speed InterCity Express train service, known for fast long-distance connections across major German and neighboring European cities.
  • A. ICE chosen
    ICE is a high-speed international train service operated by Deutsche Bahn that connects major cities across Germany and neighboring countries, including routes through Brussels.
  • B. ICE
    ICE is Emirates’ award-winning in-flight entertainment system offering a wide range of movies, TV, music, and information services to passengers.
  • C. ICE
    ICE is the stock ticker symbol for Intercontinental Exchange, a major global operator of financial exchanges and clearing houses.
  • D. ICE
    ICE is a leading professional association and learned society that supports and regulates civil engineers, primarily in the United Kingdom but with a global membership.
  • E. ICE
    ICE (Interactive Connectivity Establishment) is a framework used in real-time communication systems to discover and negotiate network paths for peer-to-peer connections across NATs and firewalls.
  • F. None of above.

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_69ca83170f9081909cd98f55614c6476 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe3138ee08190918cd82adbe2d9a1 completed March 31, 2026, 3:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1dac8cb08190b74985a6ba3c938f completed April 2, 2026, 7:41 a.m.
NEDg Description generation batch_69ce1f3729e4819084600862b53c94a8 completed April 2, 2026, 7:48 a.m.
NED2 Entity disambiguation (via description) batch_69ce1fdde53c8190b356950f878b6b70 completed April 2, 2026, 7:50 a.m.
Created at: March 30, 2026, 6:09 p.m.