Triple

T8722649
Position Surface form Disambiguated ID Type / Status
Subject Ústí nad Labem Region E207048 entity
Predicate containsCity P294 FINISHED
Object Jirkov
Jirkov is a small town in the northwestern Czech Republic known for its historical center and proximity to the Ore Mountains.
E752887 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: Jirkov | Statement: [Ústí nad Labem Region, containsCity, Jirkov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jirkov
Context triple: [Ústí nad Labem Region, containsCity, Jirkov]
  • A. Jarda
    Jarda is a minor antagonist and skilled assassin in the action thriller film "The Bourne Supremacy."
  • B. Jakub Klepiš
    Jakub Klepiš is a Czech professional ice hockey forward known for his international play and contributions to top European clubs.
  • C. Ruzinov
    Ružinov is a borough of Bratislava, Slovakia, known as a major residential and commercial district of the capital.
  • D. Lubomir
    Lubomir is a mountain peak in southern Poland’s Beskid Wyspowy range, known for its scenic views and hiking trails.
  • E. Kamil Kuča
    Kamil Kuča is a Czech academic and scientist who serves as the rector of the University of Hradec Králové.
  • 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: Jirkov
Triple: [Ústí nad Labem Region, containsCity, Jirkov]
Generated description
Jirkov is a small town in the northwestern Czech Republic known for its historical center and proximity to the Ore Mountains.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jirkov
Target entity description: Jirkov is a small town in the northwestern Czech Republic known for its historical center and proximity to the Ore Mountains.
  • A. Jarda
    Jarda is a minor antagonist and skilled assassin in the action thriller film "The Bourne Supremacy."
  • B. Jakub Klepiš
    Jakub Klepiš is a Czech professional ice hockey forward known for his international play and contributions to top European clubs.
  • C. Ruzinov
    Ružinov is a borough of Bratislava, Slovakia, known as a major residential and commercial district of the capital.
  • D. Lubomir
    Lubomir is a mountain peak in southern Poland’s Beskid Wyspowy range, known for its scenic views and hiking trails.
  • E. Kamil Kuča
    Kamil Kuča is a Czech academic and scientist who serves as the rector of the University of Hradec Králové.
  • 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_69ca835811d8819081ea00fd2a2c9a1c completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d0609f48190adc56226724b16c6 completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf290001108190a90784b13a0a25b1 completed April 3, 2026, 2:42 a.m.
NEDg Description generation batch_69cf2bd32cc881909ac8a61befa9929e completed April 3, 2026, 2:54 a.m.
NED2 Entity disambiguation (via description) batch_69cf2c69f83481909423858668d03a8b completed April 3, 2026, 2:56 a.m.
Created at: March 30, 2026, 6:36 p.m.