Triple

T13353116
Position Surface form Disambiguated ID Type / Status
Subject Poloniny National Park E318117 entity
Predicate highestPoint P210 FINISHED
Object Kremenec
Kremenec is a mountain peak in the Carpathians marking the tripoint border of Slovakia, Poland, and Ukraine.
E1037519 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: Kremenec | Statement: [Poloniny National Park, highestPoint, Kremenec]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kremenec
Context triple: [Poloniny National Park, highestPoint, Kremenec]
  • A. Kremnica
    Kremnica is a historic Slovak town renowned for its medieval mining heritage and one of the world’s oldest continuously operating mints.
  • B. Kriváň
    Kriváň is a prominent and symbolically important peak in Slovakia’s High Tatras, often regarded as a national symbol and popular hiking destination.
  • C. Kremenica
    Kremenica is a village-level settlement located within the municipality of Barajevo in Serbia.
  • D. Semenivka
    Semenivka is a small town in northern Ukraine known for its rural character and location within the historic Chernihiv region.
  • E. Rovenky
    Rovenky is an industrial city in eastern Ukraine known for its coal mining and location within the Donbas region.
  • 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: Kremenec
Triple: [Poloniny National Park, highestPoint, Kremenec]
Generated description
Kremenec is a mountain peak in the Carpathians marking the tripoint border of Slovakia, Poland, and Ukraine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kremenec
Target entity description: Kremenec is a mountain peak in the Carpathians marking the tripoint border of Slovakia, Poland, and Ukraine.
  • A. Kremnica
    Kremnica is a historic Slovak town renowned for its medieval mining heritage and one of the world’s oldest continuously operating mints.
  • B. Kriváň
    Kriváň is a prominent and symbolically important peak in Slovakia’s High Tatras, often regarded as a national symbol and popular hiking destination.
  • C. Kremenica
    Kremenica is a village-level settlement located within the municipality of Barajevo in Serbia.
  • D. Semenivka
    Semenivka is a small town in northern Ukraine known for its rural character and location within the historic Chernihiv region.
  • E. Rovenky
    Rovenky is an industrial city in eastern Ukraine known for its coal mining and location within the Donbas region.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99e8d520881908aa23c7102b72b72 completed April 11, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f72675c87c8190b26991b55092c444 completed May 3, 2026, 10:41 a.m.
NEDg Description generation batch_69f727512c94819091985c7942f40b31 completed May 3, 2026, 10:45 a.m.
NED2 Entity disambiguation (via description) batch_69f72b77d650819092c02f6488b2cfb2 completed May 3, 2026, 11:03 a.m.
Created at: April 9, 2026, 9:32 p.m.