Triple

T23259505
Position Surface form Disambiguated ID Type / Status
Subject Umyeonsan Mountain E581964 entity
Predicate mountainRange P648 FINISHED
Object Gwanaksan–Umyeonsan massif 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: Gwanaksan–Umyeonsan massif | Statement: [Umyeonsan Mountain, mountainRange, Gwanaksan–Umyeonsan massif]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gwanaksan–Umyeonsan massif
Context triple: [Umyeonsan Mountain, mountainRange, Gwanaksan–Umyeonsan massif]
  • A. Bukhansan mountain system
    Bukhansan mountain system is a prominent mountainous area in northern Seoul, South Korea, known for its granite peaks, forested slopes, and popular hiking trails within Bukhansan National Park.
  • B. Hwangnyeongsan Mountain
    Hwangnyeongsan Mountain is a prominent peak in Busan, South Korea, known for its panoramic city and coastal views, especially popular at night.
  • C. Taebaek Mountains
    The Taebaek Mountains are a major mountain range running along the eastern Korean Peninsula, forming a natural backbone that has historically influenced the region’s climate, rivers, and strategic military defenses.
  • D. Taebaek
    Taebaek is a small city in South Korea’s Gangwon Province known as a former coal-mining center and a gateway to the scenic Taebaek Mountains.
  • E. Umyeonsan Mountain
    Umyeonsan Mountain is a low, forested peak in southern Seoul, South Korea, known for its hiking trails, city views, and role as a natural green space within the urban area.
  • 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: Gwanaksan–Umyeonsan massif
Target entity description: The Gwanaksan–Umyeonsan massif is a connected mountain system in the southern part of Seoul and surrounding Gyeonggi Province, known for its forested peaks, hiking trails, and views over the metropolitan area.
  • A. Bukhansan mountain system
    Bukhansan mountain system is a prominent mountainous area in northern Seoul, South Korea, known for its granite peaks, forested slopes, and popular hiking trails within Bukhansan National Park.
  • B. Hwangnyeongsan Mountain
    Hwangnyeongsan Mountain is a prominent peak in Busan, South Korea, known for its panoramic city and coastal views, especially popular at night.
  • C. Taebaek Mountains
    The Taebaek Mountains are a major mountain range running along the eastern Korean Peninsula, forming a natural backbone that has historically influenced the region’s climate, rivers, and strategic military defenses.
  • D. Taebaek
    Taebaek is a small city in South Korea’s Gangwon Province known as a former coal-mining center and a gateway to the scenic Taebaek Mountains.
  • E. Umyeonsan Mountain chosen
    Umyeonsan Mountain is a low, forested peak in southern Seoul, South Korea, known for its hiking trails, city views, and role as a natural green space within the urban area.
  • F. None of above.

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_69e246079f58819085eaa9c260906880 completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f194c7ec148190b01fd215a0c1daa1 completed April 29, 2026, 5:19 a.m.
Created at: April 17, 2026, 4:11 p.m.