Triple

T22031892
Position Surface form Disambiguated ID Type / Status
Subject Munjong of Joseon E544105 entity
Predicate capitalDuringReign P9119 FINISHED
Object Han Yang 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: Han Yang | Statement: [Munjong of Joseon, capitalDuringReign, Han Yang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Han Yang
Context triple: [Munjong of Joseon, capitalDuringReign, Han Yang]
  • A. Han Yang chosen
    Han Yang, historically known as the capital of the Joseon Dynasty and now part of Seoul, was a major political and cultural center of Korea.
  • B. Guandu
    Guandu is a district in northern Taipei, Taiwan, known for its riverside wetlands, hot springs, and the historic Guandu Temple.
  • C. Dajing
    Dajing is a Chinese given name notably borne by Olympic short track speed skating champion Wu Dajing.
  • D. Wafangdian
    Wafangdian is a county-level city in Liaoning Province, China, known for its bearing industry and as an important satellite city of Dalian.
  • E. Yiheyuan
    Yiheyuan, known in English as the Summer Palace, is a vast imperial garden and former royal retreat in Beijing famed for its lakes, palaces, and classical Chinese landscape design.
  • 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_69e11e2f98c8819083e11eab90942a78 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127edd5b48190a9aeb2840105c181 completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:24 p.m.