Triple

T1104483
Position Surface form Disambiguated ID Type / Status
Subject Hallyu E25455 entity
Predicate includes P1393 FINISHED
Object K-pop E24966 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: K-pop | Statement: [Hallyu, includes, K-pop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: K-pop
Context triple: [Hallyu, includes, K-pop]
  • A. K-pop chosen
    K-pop is a genre of popular music originating from South Korea, characterized by its polished production, synchronized choreography, and highly stylized idol groups with global fanbases.
  • B. Hallyu
    Hallyu, or the Korean Wave, is the global surge in popularity of South Korean pop culture, including K-pop, TV dramas, films, fashion, and beauty.
  • C. BTS
    The Bureau of Transportation Statistics (BTS) is a U.S. federal agency that compiles, analyzes, and publishes data on the nation’s transportation systems to inform policy and decision-making.
  • D. BTS
    BTS is the IATA airport code for M. R. Štefánik Airport, the main international airport serving Bratislava, Slovakia.
  • E. MV
    MV is the vehicle registration code for the German federal state of Mecklenburg-Vorpommern.
  • 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_69a49428d4448190b3b36991ceae87ce completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9e1047481909af1cf8df2a01fff completed March 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4c4a402081908ee138257425a336 completed March 7, 2026, 4:03 p.m.
Created at: March 1, 2026, 7:43 p.m.