Triple

T11704035
Position Surface form Disambiguated ID Type / Status
Subject Zemplín E278195 entity
Predicate hasProtectedArea P855 FINISHED
Object Vihorlat Protected Landscape Area
Vihorlat Protected Landscape Area is a scenic conservation region in eastern Slovakia known for its volcanic mountain range, extensive beech forests, and rich biodiversity.
E941848 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: Vihorlat Protected Landscape Area | Statement: [Zemplín, hasProtectedArea, Vihorlat Protected Landscape Area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vihorlat Protected Landscape Area
Context triple: [Zemplín, hasProtectedArea, Vihorlat Protected Landscape Area]
  • A. Orava Protected Landscape Area
    Orava Protected Landscape Area is a large conservation region in northern Slovakia known for its diverse forests, wetlands, and traditional rural landscapes that provide important habitats for many protected plant and animal species.
  • B. Mecsek Landscape Protection Area
    Mecsek Landscape Protection Area is a designated nature conservation area in Hungary that safeguards the diverse forests, karst formations, and rich biodiversity of the Mecsek Mountains.
  • C. Mátra Protected Landscape Area
    Mátra Protected Landscape Area is a conservation region in Hungary that safeguards the natural habitats, forests, and scenic landscapes of the Mátra Mountains.
  • D. Brdy Protected Landscape Area
    Brdy Protected Landscape Area is a large forested highland region in the Central Bohemian Region of the Czech Republic, known for its natural beauty, biodiversity, and former military training grounds now open to the public.
  • E. Orlické Mountains Protected Landscape Area
    Orlické Mountains Protected Landscape Area is a large conservation region in the Orlické Mountains of the Czech Republic, known for its forested mountain landscapes, diverse wildlife, and protected natural habitats.
  • 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: Vihorlat Protected Landscape Area
Triple: [Zemplín, hasProtectedArea, Vihorlat Protected Landscape Area]
Generated description
Vihorlat Protected Landscape Area is a scenic conservation region in eastern Slovakia known for its volcanic mountain range, extensive beech forests, and rich biodiversity.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vihorlat Protected Landscape Area
Target entity description: Vihorlat Protected Landscape Area is a scenic conservation region in eastern Slovakia known for its volcanic mountain range, extensive beech forests, and rich biodiversity.
  • A. Orava Protected Landscape Area
    Orava Protected Landscape Area is a large conservation region in northern Slovakia known for its diverse forests, wetlands, and traditional rural landscapes that provide important habitats for many protected plant and animal species.
  • B. Mecsek Landscape Protection Area
    Mecsek Landscape Protection Area is a designated nature conservation area in Hungary that safeguards the diverse forests, karst formations, and rich biodiversity of the Mecsek Mountains.
  • C. Mátra Protected Landscape Area
    Mátra Protected Landscape Area is a conservation region in Hungary that safeguards the natural habitats, forests, and scenic landscapes of the Mátra Mountains.
  • D. Brdy Protected Landscape Area
    Brdy Protected Landscape Area is a large forested highland region in the Central Bohemian Region of the Czech Republic, known for its natural beauty, biodiversity, and former military training grounds now open to the public.
  • E. Orlické Mountains Protected Landscape Area
    Orlické Mountains Protected Landscape Area is a large conservation region in the Orlické Mountains of the Czech Republic, known for its forested mountain landscapes, diverse wildlife, and protected natural habitats.
  • 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a49b1080819096593733ee48a187 completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef83525ae081909ee6f3fbb5d37dd7 completed April 27, 2026, 3:40 p.m.
NEDg Description generation batch_69ef9b673120819097b542bb9a8f8bdb completed April 27, 2026, 5:22 p.m.
NED2 Entity disambiguation (via description) batch_69efd683366881909dd9621e7c57d0be completed April 27, 2026, 9:34 p.m.
Created at: April 8, 2026, 9:40 p.m.