Triple

T22226521
Position Surface form Disambiguated ID Type / Status
Subject Rosenborg Ballklub E549351 entity
Predicate shortName P43 FINISHED
Object RBK 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: RBK | Statement: [Rosenborg Ballklub, shortName, RBK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RBK
Context triple: [Rosenborg Ballklub, shortName, RBK]
  • A. RBK chosen
    RBK is the commonly used abbreviation for Rosenborg Ballklub, a leading Norwegian football club based in Trondheim.
  • B. RBK
    RBK is the three-letter IATA airport code assigned to French Valley Airport in Riverside County, California.
  • C. RBZ
    RBZ is the central bank of Zimbabwe, responsible for issuing the national currency and overseeing the country’s monetary and financial system.
  • D. RAK
    RAK is the armed wing of the Khmer Rouge regime in Cambodia, formally known as the Kampuchean Revolutionary Army.
  • E. RAK
    RAK is the IATA airport code for Marrakesh Menara Airport, the main international gateway serving the city of Marrakesh in Morocco.
  • 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_69e11e403d6481909a94d0aaf157f6ef completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12bee8de8819091ec5d14ea057f9e completed April 28, 2026, 9:51 p.m.
Created at: April 16, 2026, 8:37 p.m.