Triple

T20614909
Position Surface form Disambiguated ID Type / Status
Subject Varig E506539 entity
Predicate IATA code P2569 FINISHED
Object RG 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: RG | Statement: [Varig, IATA code, RG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RG
Context triple: [Varig, IATA code, RG]
  • A. RG
    RG is a postcode area in southern England covering Reading and surrounding towns in Berkshire and parts of neighbouring counties.
  • B. RG chosen
    RG is the former IATA airline designator for Varig, the now-defunct Brazilian flag carrier that was once the country’s largest airline.
  • C. Reg
    Reg is a common shortened given name, typically derived from Reginald.
  • D. RGK
    RGK is the commonly used abbreviation for the Ryukyu Golden Kings, a professional basketball team based in Okinawa, Japan.
  • E. RM
    RM is the currency symbol that was used to denote the German Reichsmark, the former official currency of Germany from 1924 to 1948.
  • 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_69e0b4bc90988190ac360aaf645efc1d completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aadaf47881909e93efb535c6c1e3 completed April 20, 2026, 10:38 p.m.
Created at: April 16, 2026, 11:41 a.m.