Triple

T10931762
Position Surface form Disambiguated ID Type / Status
Subject Orlické Mountains E258223 entity
Predicate highestPoint P210 FINISHED
Object Velká Deštná
Velká Deštná is a prominent mountain in northeastern Bohemia, Czech Republic, known for its scenic views and popular hiking trails.
E893463 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: Velká Deštná | Statement: [Orlické Mountains, highestPoint, Velká Deštná]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Velká Deštná
Context triple: [Orlické Mountains, highestPoint, Velká Deštná]
  • A. Svitava
    Svitava is a river in the Czech Republic that flows through the city of Brno and is one of its main waterways.
  • B. Považie
    Považie is a historical and geographical region of Slovakia situated along the Váh River, known for its valleys, towns, and cultural significance.
  • C. Zátopek
    Zátopek is a Czech surname most famously associated with Emil Zátopek, the legendary long-distance runner and four-time Olympic gold medalist.
  • D. Velké Poříčí
    Velké Poříčí is a municipality and village in the Hradec Králové Region of the Czech Republic, situated near the town of Náchod close to the Polish border.
  • E. Berounka
    Berounka is a major river in western Bohemia in the Czech Republic, known for flowing through the Plzeň Region and eventually joining the Vltava near Prague.
  • 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: Velká Deštná
Triple: [Orlické Mountains, highestPoint, Velká Deštná]
Generated description
Velká Deštná is a prominent mountain in northeastern Bohemia, Czech Republic, known for its scenic views and popular hiking trails.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Velká Deštná
Target entity description: Velká Deštná is a prominent mountain in northeastern Bohemia, Czech Republic, known for its scenic views and popular hiking trails.
  • A. Svitava
    Svitava is a river in the Czech Republic that flows through the city of Brno and is one of its main waterways.
  • B. Považie
    Považie is a historical and geographical region of Slovakia situated along the Váh River, known for its valleys, towns, and cultural significance.
  • C. Zátopek
    Zátopek is a Czech surname most famously associated with Emil Zátopek, the legendary long-distance runner and four-time Olympic gold medalist.
  • D. Velké Poříčí
    Velké Poříčí is a municipality and village in the Hradec Králové Region of the Czech Republic, situated near the town of Náchod close to the Polish border.
  • E. Berounka
    Berounka is a major river in western Bohemia in the Czech Republic, known for flowing through the Plzeň Region and eventually joining the Vltava near Prague.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770a062f481908beb76c6dbaeb6a6 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2175711d4819088f93bdf64ba4d3f completed April 17, 2026, 11:19 a.m.
NEDg Description generation batch_69e21e54e22881908726f088643edfd2 completed April 17, 2026, 11:49 a.m.
NED2 Entity disambiguation (via description) batch_69e21f1134d0819082fcc735da61d347 completed April 17, 2026, 11:52 a.m.
Created at: April 8, 2026, 9:23 p.m.