Triple

T19768258
Position Surface form Disambiguated ID Type / Status
Subject Jangneung (Gimpo) E474814 entity
Predicate locatedIn P40 FINISHED
Object Gimpo 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: Gimpo | Statement: [Jangneung (Gimpo), locatedIn, Gimpo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gimpo
Context triple: [Jangneung (Gimpo), locatedIn, 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. Gimpo Goldline Depot
    Gimpo Goldline Depot is the main maintenance and storage facility serving the Gimpo Goldline urban rail transit system in Gimpo, South Korea.
  • D. 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.
  • E. 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.
  • 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_69d8e51a43a08190956bc6df13c91a77 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65359bb9881908f48282b63a83f2f completed April 20, 2026, 4:24 p.m.
Created at: April 10, 2026, 1:48 p.m.