Triple

T22630888
Position Surface form Disambiguated ID Type / Status
Subject Arirang Mass Games E558546 entity
Predicate namedAfter P63 FINISHED
Object Arirang 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: Arirang | Statement: [Arirang Mass Games, namedAfter, Arirang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arirang
Context triple: [Arirang Mass Games, namedAfter, Arirang]
  • A. Arirang chosen
    Arirang is a 2011 self-reflective documentary film by South Korean director Kim Ki-duk, in which he examines his life, career, and artistic crisis in near-complete isolation.
  • B. Miryang Arirang
    Miryang Arirang is a regional variant of the traditional Korean folk song "Arirang," known for reflecting the local culture and sentiments of Miryang.
  • C. Aegukga
    Aegukga is the national anthem of South Korea, expressing patriotic devotion and love for the country.
  • D. Taegukgi
    Taegukgi is the national flag of South Korea, symbolizing balance, harmony, and the Korean people's identity and independence.
  • E. Di Doo Dah
    Di Doo Dah is a 1973 French pop album by Jane Birkin, created in collaboration with Serge Gainsbourg and known for its playful, provocative style.
  • 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_69e245467d9881908d6985bd0db7a1f1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17008e7648190b243c18067b4efb9 completed April 29, 2026, 2:42 a.m.
Created at: April 17, 2026, 3:02 p.m.