Triple

T8277885
Position Surface form Disambiguated ID Type / Status
Subject Gojong of Korea E193590 entity
Predicate burialPlace P196 FINISHED
Object Hongneung E480188 NE FINISHED

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: Hongneung | Statement: [Gojong of Korea, burialPlace, Hongneung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hongneung
Context triple: [Gojong of Korea, burialPlace, Hongneung]
  • A. Hongyureung chosen
    Hongyureung is a royal burial site from Korea’s Joseon Dynasty, notable as one of the officially designated Royal Tombs of the Joseon Dynasty and recognized for its historical and cultural significance.
  • B. Wanggeom-seong
    Wanggeom-seong was the principal royal city and political center of the ancient Korean kingdom of Gojoseon, traditionally regarded as Korea’s first capital.
  • C. Donggureung
    Donggureung is a large royal burial complex in Guri, South Korea, containing multiple tombs of Joseon Dynasty kings and queens and recognized as part of a UNESCO World Heritage site.
  • D. Gwangalli
    Gwangalli is a coastal neighborhood in Busan, South Korea, best known for its sandy beach, vibrant nightlife, and scenic views of the nearby Gwangan Bridge.
  • E. Hwaseong
    Hwaseong is a city in Gyeonggi Province, South Korea, known for its rapid industrial growth and proximity to major urban centers like Suwon and Seoul.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca82e217a48190880695635c44b2ed completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb79ebb6b88190bc777b8bd72fcdbc completed March 31, 2026, 7:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc6ca48308190bd7a6c84d5954279 completed April 2, 2026, 1:30 a.m.
Created at: March 30, 2026, 5:51 p.m.