Triple

T15859006
Position Surface form Disambiguated ID Type / Status
Subject 경기도 김포시 E384532 entity
Predicate locatedIn P40 FINISHED
Object 경기도 E43744 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: 경기도 | Statement: [경기도 김포시, locatedIn, 경기도]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 경기도
Context triple: [경기도 김포시, locatedIn, 경기도]
  • A. Gyeonggi Province chosen
    Gyeonggi Province is a populous region in northwestern South Korea that surrounds Seoul and serves as a key political, economic, and military hub of the country.
  • B. Gyeongsang Province
    Gyeongsang Province was a major historical region in southeastern Korea, known for its political, economic, and cultural importance and later divided into North and South Gyeongsang provinces.
  • C. 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.
  • D. Gangwon Province
    Gangwon Province is a mountainous region in northeastern South Korea known for its natural scenery, ski resorts, and role as a host area for the 2018 Pyeongchang Winter Olympics.
  • E. Chungcheongbuk-do
    Chungcheongbuk-do is a landlocked province in central South Korea known for its agricultural regions, mountainous terrain, and role as a transportation hub connecting different parts of the country.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1555956ec8190b13602a177e7a2bb completed April 16, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa14da7ac8190bbef49a1602a76fe completed May 9, 2026, 9:04 p.m.
Created at: April 10, 2026, 4:50 a.m.