Triple

T1667174
Position Surface form Disambiguated ID Type / Status
Subject Novo Mesto E36037 entity
Predicate hasMajorCompany P588 FINISHED
Object Krka d. d.
Krka d. d. is a major Slovenian pharmaceutical company known for producing generic medicines and health products for global markets.
E188007 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: Krka d. d. | Statement: [Novo Mesto, hasMajorCompany, Krka d. d.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krka d. d.
Context triple: [Novo Mesto, hasMajorCompany, Krka d. d.]
  • A. Krk
    Krk is a large Adriatic Sea island in the northern part of Croatia, known for its historic towns, beaches, and popular tourist resorts.
  • B. Kladno
    Kladno is an industrial city in the Czech Republic known historically for coal mining and steel production.
  • C. Crnogorci
    Crnogorci are a South Slavic ethnic group primarily associated with the country of Montenegro, known for their distinct cultural and historical identity in the Balkans.
  • D. 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.
  • E. Baščaršija
    Baščaršija is Sarajevo’s historic Ottoman-era bazaar and cultural center, known for its narrow cobbled streets, traditional shops, and iconic architecture.
  • 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: Krka d. d.
Triple: [Novo Mesto, hasMajorCompany, Krka d. d.]
Generated description
Krka d. d. is a major Slovenian pharmaceutical company known for producing generic medicines and health products for global markets.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Krka d. d.
Target entity description: Krka d. d. is a major Slovenian pharmaceutical company known for producing generic medicines and health products for global markets.
  • A. Krk
    Krk is a large Adriatic Sea island in the northern part of Croatia, known for its historic towns, beaches, and popular tourist resorts.
  • B. Kladno
    Kladno is an industrial city in the Czech Republic known historically for coal mining and steel production.
  • C. Crnogorci
    Crnogorci are a South Slavic ethnic group primarily associated with the country of Montenegro, known for their distinct cultural and historical identity in the Balkans.
  • D. 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.
  • E. Baščaršija
    Baščaršija is Sarajevo’s historic Ottoman-era bazaar and cultural center, known for its narrow cobbled streets, traditional shops, and iconic architecture.
  • 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_69a8861286808190939afff3ce8ee31e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90adc57cc8190b270004c363768e3 completed March 5, 2026, 4:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad683207b08190a86c266aaece4e98 completed March 8, 2026, 12:14 p.m.
NEDg Description generation batch_69ad692a4078819080c3a89166917081 completed March 8, 2026, 12:18 p.m.
NED2 Entity disambiguation (via description) batch_69ad698929f88190af97fc915d29a5b5 completed March 8, 2026, 12:20 p.m.
Created at: March 4, 2026, 7:29 p.m.