Triple

T5690934
Position Surface form Disambiguated ID Type / Status
Subject Hangul Day E125425 entity
Predicate nativeName P15 FINISHED
Object 한글날 E125425 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: 한글날 | Statement: [Hangul Day, nativeName, 한글날]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 한글날
Context triple: [Hangul Day, nativeName, 한글날]
  • A. Hangul Day chosen
    Hangul Day is a South Korean national holiday that celebrates the creation and proclamation of the Korean alphabet, Hangul, by King Sejong the Great in the 15th century.
  • B. Seollal
    Seollal is the Korean Lunar New Year celebration, marked by ancestral rites, traditional foods, games, and family gatherings to welcome the new year.
  • C. Chuseok
    Chuseok is a major Korean harvest festival and family holiday marked by ancestral rites, traditional foods, and visits to hometowns.
  • D. Naver Calendar
    Naver Calendar is a scheduling and time-management service by Naver that lets users create, organize, and sync events across devices and other Naver services.
  • E. National Hangeul Museum
    The National Hangeul Museum is a cultural institution in Seoul dedicated to preserving, researching, and exhibiting the history, design, and usage of the Korean writing system Hangeul.
  • 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_69c0082bb19c8190823a4facd3cba79b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023e500ec8190bfda4f6a818aa5dc completed March 22, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07dd76f008190970c3b17ec8cbfd8 completed March 22, 2026, 11:40 p.m.
Created at: March 22, 2026, 3:44 p.m.