Triple

T2112992
Position Surface form Disambiguated ID Type / Status
Subject New Year’s Eve E42544 entity
Predicate hasTraditionIn P19423 FINISHED
Object South Korea E3830 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: South Korea | Statement: [New Year’s Eve, hasTraditionIn, South Korea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: South Korea
Context triple: [New Year’s Eve, hasTraditionIn, South Korea]
  • A. South Korea chosen
    South Korea is an East Asian nation on the southern half of the Korean Peninsula, known for its advanced technology, vibrant pop culture, and rapid economic development.
  • B. Kore
    Kore is an alternate name for Persephone, the Greek goddess associated with spring’s growth and the queen of the underworld.
  • C. North Korea
    North Korea is an isolated, authoritarian state in East Asia known for its dynastic leadership, nuclear weapons program, and tense relations with much of the international community.
  • D. Korea Exchange
    Korea Exchange is South Korea’s main securities and derivatives marketplace, serving as the country’s primary stock exchange for major companies such as Samsung.
  • E. Japan
    Japan is an East Asian island nation in the Pacific Ocean known for its advanced technology, rich cultural heritage, and major cities such as Tokyo, Osaka, and Kyoto.
  • 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_69a8871040f08190aac2e2d0ab6b47ad completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbb0495d0819097dc936540743b74 completed March 7, 2026, 5:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69af9893d2048190ac3b36c32f14b63d completed March 10, 2026, 4:05 a.m.
Created at: March 4, 2026, 7:43 p.m.