Triple

T3091750
Position Surface form Disambiguated ID Type / Status
Subject Madden–Julian Oscillation E64496 entity
Predicate hasIndex P2915 FINISHED
Object RMM2 E328308 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: RMM2 | Statement: [Madden–Julian Oscillation, hasIndex, RMM2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RMM2
Context triple: [Madden–Julian Oscillation, hasIndex, RMM2]
  • A. RMM1 chosen
    RMM1 is one of the primary Real-time Multivariate MJO index components used to quantify and track the phase and amplitude of the Madden–Julian Oscillation in atmospheric observations and forecasts.
  • B. RMF
    RMF (Resource Measurement Facility) is an IBM performance monitoring and reporting tool used to analyze and manage system resources on z/OS mainframe environments.
  • C. AMM
    AMM is the commonly used abbreviation for the APEC Ministerial Meeting, the annual gathering of Asia-Pacific Economic Cooperation foreign and trade ministers.
  • D. RM
    RM is the currency symbol that was used to denote the German Reichsmark, the former official currency of Germany from 1924 to 1948.
  • E. HHM
    HHM is a German vehicle registration code assigned to the Burgenlandkreis district in the state of Saxony-Anhalt.
  • 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_69ad857c97d88190b26f9b1c90839c77 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada20eeee88190a5eecfce10e3848c completed March 8, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f5115708190bc4af2a26d43014f completed March 12, 2026, 12:56 a.m.
Created at: March 8, 2026, 3:03 p.m.