Triple

T6409159
Position Surface form Disambiguated ID Type / Status
Subject Kumrovec E127661 entity
Predicate near P350 FINISHED
Object Klanjec
Klanjec is a small town in northern Croatia’s Zagorje region, known for its historic architecture and picturesque rural surroundings.
E592543 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: Klanjec | Statement: [Kumrovec, near, Klanjec]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Klanjec
Context triple: [Kumrovec, near, Klanjec]
  • A. 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.
  • B. Tolmin
    Tolmin is a small Slovenian town in the Julian Alps, known as a gateway to the Soča Valley and for its scenic gorges, rivers, and outdoor recreation.
  • C. Gorski Kotar
    Gorski Kotar is a mountainous, heavily forested region in western Croatia known for its rugged landscapes, rich biodiversity, and outdoor recreation opportunities.
  • D. Kobarid
    Kobarid is a historic town in western Slovenia, known for its World War I heritage sites and scenic Alpine surroundings.
  • E. Kladno
    Kladno is an industrial city in the Czech Republic known historically for coal mining and steel production.
  • 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: Klanjec
Triple: [Kumrovec, near, Klanjec]
Generated description
Klanjec is a small town in northern Croatia’s Zagorje region, known for its historic architecture and picturesque rural surroundings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Klanjec
Target entity description: Klanjec is a small town in northern Croatia’s Zagorje region, known for its historic architecture and picturesque rural surroundings.
  • A. 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.
  • B. Tolmin
    Tolmin is a small Slovenian town in the Julian Alps, known as a gateway to the Soča Valley and for its scenic gorges, rivers, and outdoor recreation.
  • C. Gorski Kotar
    Gorski Kotar is a mountainous, heavily forested region in western Croatia known for its rugged landscapes, rich biodiversity, and outdoor recreation opportunities.
  • D. Kobarid
    Kobarid is a historic town in western Slovenia, known for its World War I heritage sites and scenic Alpine surroundings.
  • E. Kladno
    Kladno is an industrial city in the Czech Republic known historically for coal mining and steel production.
  • 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_69c0083723d88190b1e37b19df162c08 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c068cdf25881908d42a5d979637ad6 completed March 22, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640c141548190b76a21e873c9147d completed March 27, 2026, 8:33 a.m.
NEDg Description generation batch_69c6428e44108190b7cb592a05b4acbb completed March 27, 2026, 8:40 a.m.
NED2 Entity disambiguation (via description) batch_69c64343c19c8190b05ef4450aadcbd1 completed March 27, 2026, 8:43 a.m.
Created at: March 22, 2026, 4:41 p.m.