Triple

T20267906
Position Surface form Disambiguated ID Type / Status
Subject Left and Right E499014 entity
Predicate featuresMemberOf P92679 FINISHED
Object BTS 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: BTS | Statement: [Left and Right, featuresMemberOf, BTS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BTS
Context triple: [Left and Right, featuresMemberOf, BTS]
  • A. 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.
  • B. BTS
    BTS is the IATA airport code for M. R. Štefánik Airport, the main international airport serving Bratislava, Slovakia.
  • C. BTS chosen
    BTS is a globally renowned South Korean boy band known for their influential K-pop music, intricate choreography, and massive international fanbase.
  • D. Twice
    Twice is a South Korean girl group formed by JYP Entertainment, known for their catchy pop songs and significant influence on the global K-pop scene.
  • E. Kim Tae-hyung
    Kim Tae-hyung is a South Korean film director best known for his work in the horror and thriller genres.
  • 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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e675dbb7ac8190a40c527f2c02ca50 completed April 20, 2026, 6:52 p.m.
Created at: April 11, 2026, 11:42 p.m.