Triple

T23250415
Position Surface form Disambiguated ID Type / Status
Subject RM E581716 entity
Predicate stageName P7872 FINISHED
Object RM 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: RM | Statement: [RM, stageName, RM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RM
Context triple: [RM, stageName, RM]
  • A. RM
    RM is the currency symbol that was used to denote the German Reichsmark, the former official currency of Germany from 1924 to 1948.
  • B. RM
    RM is a UK postcode area in east London and parts of Essex, covering districts such as Romford and surrounding suburbs.
  • C. RM
    RM was a Swiss regional railway company that operated passenger and freight services in the Mittelland region before being merged into BLS AG.
  • D. RM chosen
    RM is a South Korean rapper, songwriter, and leader of the globally renowned K-pop group BTS.
  • E. RB
    RB is the abbreviation for CERN’s Research Board, the committee responsible for overseeing and approving the laboratory’s scientific research program.
  • 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_69e24606b17c81908aba1a4911c8a8ba completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f193f5aa9081909775fb7f7dc660b3 completed April 29, 2026, 5:15 a.m.
Created at: April 17, 2026, 4:10 p.m.