Triple

T18631439
Position Surface form Disambiguated ID Type / Status
Subject KUV E455426 entity
Predicate represents P129 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: [KUV, represents, Kunsan Air Base]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kunsan Air Base
Context triple: [KUV, represents, 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. 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.
  • E. Finow Air Base
    Finow Air Base is a former military airfield in Brandenburg, Germany, that served as a key base for Soviet and East German air forces during the Cold War.
  • 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_69d8d38cc7948190a55ea64e5638994e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54fc4c5648190b771e9b080e98c15 completed April 19, 2026, 9:57 p.m.
Created at: April 10, 2026, 11:46 a.m.