Triple

T23160971
Position Surface form Disambiguated ID Type / Status
Subject Velence Mountains E578580 entity
Predicate hasProtectedArea P855 FINISHED
Object Pákozd–Sukoró Arboretum and Wildlife Park NE NERFINISHED

How this triple was built (3 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: Pákozd–Sukoró Arboretum and Wildlife Park | Statement: [Velence Mountains, hasProtectedArea, Pákozd–Sukoró Arboretum and Wildlife Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pákozd–Sukoró Arboretum and Wildlife Park
Context triple: [Velence Mountains, hasProtectedArea, Pákozd–Sukoró Arboretum and Wildlife Park]
  • A. Kőszeg Arboretum
    Kőszeg Arboretum is a botanical garden and landscaped park near the town of Kőszeg in western Hungary, known for its diverse tree species and tranquil natural setting.
  • B. Nagyerdő Park
    Nagyerdő Park is a large, historic forested public park and recreational area in Debrecen, Hungary, known for its natural scenery, cultural venues, and leisure facilities.
  • C. Arboretum of Zirc
    The Arboretum of Zirc is a notable Hungarian botanical garden renowned for its diverse tree collections and tranquil natural setting.
  • D. Arboretum of Gödöllő
    The Arboretum of Gödöllő is a botanical park in Gödöllő, Hungary, known for its diverse tree collections, educational role, and tranquil natural setting.
  • E. Vizafogó Park
    Vizafogó Park is a modern riverside public park in Budapest’s Vizafogó neighborhood, known for its landscaped green areas, playgrounds, and recreational facilities.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pákozd–Sukoró Arboretum and Wildlife Park
Target entity description: Pákozd–Sukoró Arboretum and Wildlife Park is a Hungarian nature reserve and educational park featuring native forests, wildlife enclosures, and walking trails in the scenic Velence Mountains region.
  • A. Kőszeg Arboretum
    Kőszeg Arboretum is a botanical garden and landscaped park near the town of Kőszeg in western Hungary, known for its diverse tree species and tranquil natural setting.
  • B. Nagyerdő Park
    Nagyerdő Park is a large, historic forested public park and recreational area in Debrecen, Hungary, known for its natural scenery, cultural venues, and leisure facilities.
  • C. Arboretum of Zirc
    The Arboretum of Zirc is a notable Hungarian botanical garden renowned for its diverse tree collections and tranquil natural setting.
  • D. Arboretum of Gödöllő
    The Arboretum of Gödöllő is a botanical park in Gödöllő, Hungary, known for its diverse tree collections, educational role, and tranquil natural setting.
  • E. Vizafogó Park
    Vizafogó Park is a modern riverside public park in Budapest’s Vizafogó neighborhood, known for its landscaped green areas, playgrounds, and recreational facilities.
  • F. None of above. chosen

Provenance (2 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_69e245fc75348190a0288401044c8af8 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f006930819097aafef87405d737 completed April 29, 2026, 4:54 a.m.
Created at: April 17, 2026, 4:02 p.m.