Triple

T1597894
Position Surface form Disambiguated ID Type / Status
Subject Central Bohemian Region E34324 entity
Predicate hasMajorIndustryCenter P3436 FINISHED
Object Kladno E181630 NE FINISHED

How this triple was built (2 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, hasMajorIndustryCenter, Kladno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kladno
Context triple: [Central Bohemian Region, hasMajorIndustryCenter, 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.

Provenance (3 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_69a9092f5f148190b987bc943e89e29c completed March 5, 2026, 4:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad51b9c6588190810ede38d9e714e2 completed March 8, 2026, 10:38 a.m.
Created at: March 4, 2026, 7:27 p.m.