Triple

T1597897
Position Surface form Disambiguated ID Type / Status
Subject Central Bohemian Region E34324 entity
Predicate hasSteelIndustry P15910 FINISHED
Object Kladno E181630 NE FINISHED

How this triple was built (3 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: Kladno | Statement: [Central Bohemian Region, hasSteelIndustry, Kladno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kladno
Context triple: [Central Bohemian Region, hasSteelIndustry, Kladno]
  • A. Kladno chosen
    Kladno is an industrial city in the Czech Republic known historically for coal mining and steel production.
  • B. Ptuj
    Ptuj is one of Slovenia’s oldest towns, renowned for its well-preserved medieval architecture and rich cultural heritage along the Drava River.
  • C. Gospić
    Gospić is a town in the Lika region of Croatia, known as the administrative center of Lika-Senj County and for its association with the birthplace of inventor Nikola Tesla in nearby Smiljan.
  • D. Klinovec
    Klinovec is a prominent mountain in the Czech Republic, known as the highest peak of the Ore Mountains and a popular destination for skiing and outdoor recreation.
  • E. Dubnica nad Váhom
    Dubnica nad Váhom is a town in western Slovakia known as an industrial center and the hometown of several notable Slovak athletes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasSteelIndustry
Context triple: [Central Bohemian Region, hasSteelIndustry, Kladno]
  • A. hasIndustrialSector
    Indicates that an entity is associated with, operates in, or belongs to a particular industrial sector or branch of economic activity.
  • B. hasMilitaryIndustry
    Indicates that an entity possesses or is associated with an industry dedicated to the research, development, production, or maintenance of military equipment, technology, or services.
  • C. hasIndustrialPlant
    Indicates that an entity possesses, operates, or is associated with an industrial plant facility.
  • D. isIndustrialRegion chosen
    Indicates that a given area functions primarily as a center of industrial activity, characterized by significant manufacturing, production, or related industrial operations.
  • E. isMajorIndustrialEconomy
    Indicates that an entity is one of the world’s leading industrialized economies, characterized by large-scale industrial output and significant influence in global economic activity.
  • F. None of above.

Provenance (4 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_69a885fdcb9c819081ce6f0b8cd477dd completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a916d413f08190a4e137e5ed262e25 completed March 5, 2026, 5:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad58c1d9ac819085e497b630a99d96 completed March 8, 2026, 11:08 a.m.
PD Predicate disambiguation batch_69a907bfb39c8190a31e0be14d3d52e6 completed March 5, 2026, 4:34 a.m.
Created at: March 4, 2026, 7:27 p.m.