Triple

T19626013
Position Surface form Disambiguated ID Type / Status
Subject Jeju Air E471136 entity
Predicate headquartersLocation P62 FINISHED
Object Jeju Province 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: Jeju Province | Statement: [Jeju Air, headquartersLocation, Jeju Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeju Province
Context triple: [Jeju Air, headquartersLocation, Jeju Province]
  • A. Jeju Province chosen
    Jeju Province is a special self-governing province of South Korea, encompassing Jeju Island and known for its volcanic landscapes, tourism, and unique local culture.
  • B. Jeollanam-do
    Jeollanam-do is a largely rural province in southwestern South Korea known for its coastal landscapes, numerous islands, and rich agricultural and maritime traditions.
  • C. Jeollabuk-do
    Jeollabuk-do is a province in southwestern South Korea known for its rich agricultural land, traditional culture, and historic city of Jeonju.
  • D. Kangwon Province
    Kangwon Province is an administrative region of North Korea along the country's eastern coast, known for its coastal cities and strategic maritime location.
  • E. North Jeolla Province
    North Jeolla Province is a southwestern region of South Korea known for its rich agricultural production, historic cities, and cultural heritage.
  • 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_69d8e511f28481909f4bc3ea9191e54a completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640e9ff208190afb33c910ed2147b completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:44 p.m.