Triple

T23216841
Position Surface form Disambiguated ID Type / Status
Subject Eunpyeong-gu E580767 entity
Predicate hasMountain P10602 FINISHED
Object Bukhansan NE NERFINISHED

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: Bukhansan | Statement: [Eunpyeong-gu, hasMountain, Bukhansan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bukhansan
Context triple: [Eunpyeong-gu, hasMountain, Bukhansan]
  • A. Bukhansan Mountain chosen
    Bukhansan Mountain is a prominent, granite-peaked mountain in northern Seoul, South Korea, known for its scenic hiking trails, historic temples, and inclusion within Bukhansan National Park.
  • B. Baegunsan
    Baegunsan is a mountain located in or near the city of Uiwang in South Korea, known for its hiking trails and natural scenery.
  • C. Geumjeongsan
    Geumjeongsan is a prominent mountain in Busan, South Korea, known for its scenic hiking trails, historic fortress walls, and cultural sites.
  • D. Baegaksan
    Baegaksan is a prominent mountain in central Seoul, South Korea, known for its historical significance as part of the city's protective fortress wall and its scenic hiking trails overlooking the capital.
  • E. Gwanggyo Mountain
    Gwanggyo Mountain is a prominent natural landmark in South Korea known for its hiking trails and scenic views near the city of Suwon.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e2460389408190be74f41d217799a9 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f19165949c81908e4d66a8a2b0a25a completed April 29, 2026, 5:04 a.m.
Created at: April 17, 2026, 4:08 p.m.