Triple

T24709478
Position Surface form Disambiguated ID Type / Status
Subject Daegu Air Base E611987 entity
Predicate isInMilitaryTheater P14275 FINISHED
Object Korean Peninsula LITERAL 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: Korean Peninsula | Statement: [Daegu Air Base, isInMilitaryTheater, Korean Peninsula]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isInMilitaryTheater
Context triple: [Daegu Air Base, isInMilitaryTheater, Korean Peninsula]
  • A. hasPrimaryTheatreOfWar
    Indicates that an armed conflict or military operation is chiefly conducted within a particular geographic theatre or region of war.
  • B. hasMilitaryPresence chosen
    Indicates that a military force is present in, stationed at, or operating within a particular location or entity.
  • C. isMilitaryInstallation
    Indicates that a location functions as a military facility or base used for defense, training, operations, or related armed forces activities.
  • D. isMilitaryCommand
    Indicates that one entity holds formal military authority or command over another entity or group.
  • E. militaryTheaterCovered
    Indicates that a specified military theater or area of operations falls within the geographic or operational scope covered by another entity (such as a plan, command, or agreement).
  • F. None of above.

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_69e2c4d9c24c8190a3712d74327f0c6e completed April 17, 2026, 11:40 p.m.
NER Named-entity recognition batch_69f410fe3b848190ae296a29f742ee30 completed May 1, 2026, 2:33 a.m.
PD Predicate disambiguation batch_69f40ee8ada8819089a7016b50308ff0 completed May 1, 2026, 2:24 a.m.
Created at: April 18, 2026, 3:24 a.m.