Triple

T8631105
Position Surface form Disambiguated ID Type / Status
Subject HC Pardubice E204403 entity
Predicate nickname P55 FINISHED
Object Dynamo
Dynamo is the popular nickname of HC Pardubice, a professional ice hockey club based in Pardubice, Czech Republic.
E746911 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: Dynamo | Statement: [HC Pardubice, nickname, Dynamo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dynamo
Context triple: [HC Pardubice, nickname, Dynamo]
  • A. Dynamo
    Dynamo is a prominent Russian sports club based in Moscow, best known for its professional football and ice hockey teams.
  • B. Dynamo
    Dynamo is the commonly used nickname for FC Dynamo Kyiv, one of Ukraine’s most successful and historically significant football clubs.
  • C. Dynamo Diesel
    Dynamo Diesel is the bull-themed official mascot of the Houston Dynamo Major League Soccer team, known for energizing fans at matches and community events.
  • D. Dyme
    Dyme was an ancient Greek city-state in the region of Achaea, known as one of its earliest and westernmost poleis.
  • E. Ferris
    Ferris is a small suburban city in the Dallas–Fort Worth metropolitan area in Texas.
  • 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: Dynamo
Triple: [HC Pardubice, nickname, Dynamo]
Generated description
Dynamo is the popular nickname of HC Pardubice, a professional ice hockey club based in Pardubice, Czech Republic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dynamo
Target entity description: Dynamo is the popular nickname of HC Pardubice, a professional ice hockey club based in Pardubice, Czech Republic.
  • A. Dynamo
    Dynamo is a prominent Russian sports club based in Moscow, best known for its professional football and ice hockey teams.
  • B. Dynamo
    Dynamo is the commonly used nickname for FC Dynamo Kyiv, one of Ukraine’s most successful and historically significant football clubs.
  • C. Dynamo Diesel
    Dynamo Diesel is the bull-themed official mascot of the Houston Dynamo Major League Soccer team, known for energizing fans at matches and community events.
  • D. Dyme
    Dyme was an ancient Greek city-state in the region of Achaea, known as one of its earliest and westernmost poleis.
  • E. Ferris
    Ferris is a small suburban city in the Dallas–Fort Worth metropolitan area in Texas.
  • 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_69ca834b903c8190add96cc651e1a477 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc47417e9c819099739ae901449308 completed March 31, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebc0acf508190a090fb1edf9420d2 completed April 2, 2026, 6:57 p.m.
NEDg Description generation batch_69cebcc22d208190801b4ec58614dfcb completed April 2, 2026, 7 p.m.
NED2 Entity disambiguation (via description) batch_69cebdf3f288819088d83165c741d092 completed April 2, 2026, 7:05 p.m.
Created at: March 30, 2026, 6:27 p.m.