Triple

T16360379
Position Surface form Disambiguated ID Type / Status
Subject Incheon E397293 entity
Predicate borderedBy P224 FINISHED
Object Gimpo E226749 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: Gimpo | Statement: [Incheon, borderedBy, Gimpo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gimpo
Context triple: [Incheon, borderedBy, Gimpo]
  • A. Gimpo chosen
    Gimpo is a city in northwestern South Korea known for its proximity to Seoul and its role as a transportation hub, including the location of Gimpo International Airport.
  • B. Suwon Air Base
    Suwon Air Base is a major South Korean military airfield used by the Republic of Korea Air Force and hosting U.S. forces, located south of Seoul.
  • C. Jangneung (Gimpo)
    Jangneung (Gimpo) is a royal tomb from Korea’s Joseon Dynasty, serving as the burial site of King Wonjong and Queen Inheon and forming part of the UNESCO-listed Royal Tombs of the Joseon Dynasty.
  • D. Suwon
    Suwon is a major South Korean city best known for its UNESCO-listed Hwaseong Fortress and as a key cultural and economic center just south of Seoul.
  • E. Uijeongbu
    Uijeongbu is a city in South Korea known as a suburban hub north of Seoul, featuring residential districts, commercial centers, and a history of hosting U.S. military bases.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2fad241848190a9f32c7b050f20a5 completed April 18, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002dbce2508190b655de87f48e841e completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:08 a.m.