Triple

T27946776
Position Surface form Disambiguated ID Type / Status
Subject Jeseníky Mountains foothills E700903 entity
Predicate containsSettlement P847 FINISHED
Object Vrbno pod Pradědem
Vrbno pod Pradědem is a small town in the Moravian-Silesian Region of the Czech Republic, situated in a valley surrounded by the Jeseníky mountain range and known as a local center for tourism and outdoor recreation.
E1797303 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: Vrbno pod Pradědem | Statement: [Jeseníky Mountains foothills, containsSettlement, Vrbno pod Pradědem]
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: Vrbno pod Pradědem
Triple: [Jeseníky Mountains foothills, containsSettlement, Vrbno pod Pradědem]
Generated description
Vrbno pod Pradědem is a small town in the Moravian-Silesian Region of the Czech Republic, situated in a valley surrounded by the Jeseníky mountain range and known as a local center for tourism and outdoor recreation.

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_69ef6a5028108190a14696d9821dde49 completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f63ad18cb48190aafdf938b5978b37 completed May 2, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a131164409081908e0bdc1cc2b17dcb completed May 24, 2026, 2:55 p.m.
NEDg Description generation batch_6a13123f14008190a62775eea01bd2d4 completed May 24, 2026, 2:59 p.m.
NED2 Entity disambiguation (via description) batch_6a1313d9f1688190ab230c0c39167e27 completed May 24, 2026, 3:06 p.m.
Created at: April 27, 2026, 7:22 p.m.