Triple

T20771894
Position Surface form Disambiguated ID Type / Status
Subject ICE 2 E511256 entity
Predicate predecessor P97 FINISHED
Object ICE 1
ICE 1 is Germany’s first generation of high-speed Intercity-Express trains, introduced by Deutsche Bahn in the early 1990s.
 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 1 | Statement: [ICE 2, predecessor, ICE 1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ICE 1
Context triple: [ICE 2, predecessor, ICE 1]
  • A. ICE
    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 (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 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 is a research institute at Johns Hopkins University focused on advancing the understanding and engineering of cells for biomedical applications.
  • 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 1
Triple: [ICE 2, predecessor, ICE 1]
Generated description
ICE 1 is Germany’s first generation of high-speed Intercity-Express trains, introduced by Deutsche Bahn in the early 1990s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ICE 1
Target entity description: ICE 1 is Germany’s first generation of high-speed Intercity-Express trains, introduced by Deutsche Bahn in the early 1990s.
  • 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 a leading professional association and learned society that supports and regulates civil engineers, primarily in the United Kingdom but with a global membership.
  • D. 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.
  • E. ICE
    ICE is a research institute at Johns Hopkins University focused on advancing the understanding and engineering of cells for biomedical applications.
  • 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_69e0b4ca01148190ac018e57e0cab46f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2681ff88190bfe5938c2db6b2c4 completed April 21, 2026, 12:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08ef91918c81908e99ab3a8ed9a1e5 completed May 16, 2026, 10:28 p.m.
NEDg Description generation batch_6a08f306e51481909691e3735ce10b60 completed May 16, 2026, 10:43 p.m.
NED2 Entity disambiguation (via description) batch_6a08f37adb908190a40a7bb1728f3dbf completed May 16, 2026, 10:45 p.m.
Created at: April 16, 2026, 12:37 p.m.