Triple

T8682991
Position Surface form Disambiguated ID Type / Status
Subject Kim Il Sung Military University E206082 entity
Predicate ideology P496 FINISHED
Object Songun E45213 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: Songun | Statement: [Kim Il Sung Military University, ideology, Songun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Songun
Context triple: [Kim Il Sung Military University, ideology, Songun]
  • A. Songun chosen
    Songun is North Korea’s military-first political ideology that prioritizes the Korean People’s Army as the central force of the state and society.
  • B. Rakkasans
    Rakkasans is the distinctive nickname of the 3rd Brigade Combat Team of the U.S. Army’s 101st Airborne Division, renowned for its airborne and air assault operations.
  • C. Gwangandaegyo
    Gwangandaegyo is a prominent suspension bridge in Busan, South Korea, known for its scenic coastal views and nighttime LED light displays.
  • D. Aegukga
    Aegukga is the national anthem of South Korea, expressing patriotic devotion and love for the country.
  • E. Sinwonsa
    Sinwonsa is a historic Buddhist temple in South Korea, known as one of the principal temples on Mount Gyeryong and noted for its traditional architecture and serene natural setting.
  • 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_69ca835379688190aa06b9d98e684d58 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4ae9da3c8190866e24970a7aeba3 completed March 31, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3c3c74c81908cd9e881d5963492 completed April 2, 2026, 10:54 p.m.
Created at: March 30, 2026, 6:32 p.m.