Triple

T19899833
Position Surface form Disambiguated ID Type / Status
Subject Gunsan E478252 entity
Predicate hasMilitaryFacility P1869 FINISHED
Object Kunsan Air Base 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: Kunsan Air Base | Statement: [Gunsan, hasMilitaryFacility, Kunsan Air Base]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kunsan Air Base
Context triple: [Gunsan, hasMilitaryFacility, Kunsan Air Base]
  • A. Kunsan Air Base chosen
    Kunsan Air Base is a major United States Air Force installation in South Korea that plays a critical role in regional defense and deterrence on the Korean Peninsula.
  • B. Seosan Air Base
    Seosan Air Base is a major Republic of Korea Air Force installation in South Korea that supports fighter operations and air defense missions.
  • C. Wonju Air Base
    Wonju Air Base is a South Korean military airfield known as the home base of the Republic of Korea Air Force’s Black Eagles aerobatic display team.
  • D. Gunsan Air Base
    Gunsan Air Base is a major South Korean military airfield, also used by United States forces, located near the city of Gunsan on the country’s west coast.
  • E. Cheongju Air Base
    Cheongju Air Base is a major South Korean military airfield used by the Republic of Korea Air Force for fighter and support operations.
  • 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_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65940cf8c8190b74e51635410e48a completed April 20, 2026, 4:50 p.m.
Created at: April 10, 2026, 1:52 p.m.