Triple

T3899474
Position Surface form Disambiguated ID Type / Status
Subject Ivan Hlinka E90449 entity
Predicate placeOfBirth P1 FINISHED
Object Most
Most is an industrial city in the Ústí nad Labem Region of the Czech Republic, historically known for coal mining and extensive postwar urban redevelopment.
 E397576 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: Most | Statement: [Ivan Hlinka, placeOfBirth, Most]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Most
Context triple: [Ivan Hlinka, placeOfBirth, Most]
  • A. Major
    Major is a common English surname notably borne by former UK Prime Minister John Major and his wife, charity campaigner Norma Major.
  • B. Major
    Major is a mid-level commissioned officer rank in the Portuguese Air Force, typically positioned above captain and below lieutenant colonel.
  • C. Groß
    Groß is a German surname most notably borne by the influential Dadaist and New Objectivity painter and caricaturist George Grosz.
  • D. Big
    Big is a 1988 fantasy-comedy film in which Tom Hanks plays a boy who magically becomes an adult overnight, earning widespread acclaim and helping establish him as a major Hollywood star.
  • E. Very
    "Very" is a 1993 synth-pop album by Pet Shop Boys, known for its upbeat electronic sound and distinctive, colorful packaging.
  • 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: Most
Triple: [Ivan Hlinka, placeOfBirth, Most]
Generated description
Most is an industrial city in the Ústí nad Labem Region of the Czech Republic, historically known for coal mining and extensive postwar urban redevelopment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Most
Target entity description: Most is an industrial city in the Ústí nad Labem Region of the Czech Republic, historically known for coal mining and extensive postwar urban redevelopment.
  • A. Major
    Major is a common English surname notably borne by former UK Prime Minister John Major and his wife, charity campaigner Norma Major.
  • B. Major
    Major is a mid-level commissioned officer rank in the Portuguese Air Force, typically positioned above captain and below lieutenant colonel.
  • C. Groß
    Groß is a German surname most notably borne by the influential Dadaist and New Objectivity painter and caricaturist George Grosz.
  • D. Big
    Big is a 1988 fantasy-comedy film in which Tom Hanks plays a boy who magically becomes an adult overnight, earning widespread acclaim and helping establish him as a major Hollywood star.
  • E. Very
    "Very" is a 1993 synth-pop album by Pet Shop Boys, known for its upbeat electronic sound and distinctive, colorful packaging.
  • 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_69aed95d315881908cbf1bf4a7215fbf completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeecf17ef4819083db0a22e24d5b89 completed March 9, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51ca477a081908b7e6d2701833413 completed March 14, 2026, 8:30 a.m.
NEDg Description generation batch_69b51dc74d6c819082d1cf4c8a5d3aba completed March 14, 2026, 8:35 a.m.
NED2 Entity disambiguation (via description) batch_69b51e27ce588190a9aa93f2fd063fad completed March 14, 2026, 8:36 a.m.
Created at: March 9, 2026, 3:21 p.m.