Triple

T1360954
Position Surface form Disambiguated ID Type / Status
Subject Yeongnam region E29096 entity
Predicate borders P224 FINISHED
Object Honam region E168598 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: Honam region | Statement: [Yeongnam region, borders, Honam region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Honam region
Context triple: [Yeongnam region, borders, Honam region]
  • A. Honam region chosen
    The Honam region is a southwestern area of South Korea traditionally encompassing the provinces of Jeolla and the city of Gwangju, known for its rich agriculture, distinct culture, and strong democratic activism.
  • B. Yeongnam region
    The Yeongnam region is a major southeastern area of South Korea encompassing key cities such as Busan and Daegu, known for its dense population, industry, and distinct cultural identity.
  • C. Chungcheong region
    The Chungcheong region is a central area of South Korea known for its mix of agricultural plains, growing urban centers, and administrative significance.
  • D. South Jeolla region
    The South Jeolla region is a province in southwestern South Korea known for its fertile plains, rich agricultural output, and coastal and island landscapes.
  • E. Yeongdo District
    Yeongdo District is a coastal district of Busan, South Korea, known for its island setting, shipbuilding industry, and scenic views of the city and harbor.
  • 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_69a498d77abc8190913bf57e5f51d2c4 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c2b156b081909c99ada70a969fc0 completed March 1, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad519e02148190866944223fbe1251 completed March 8, 2026, 10:38 a.m.
Created at: March 1, 2026, 7:56 p.m.