Triple

T9985604
Position Surface form Disambiguated ID Type / Status
Subject RNP E196559 entity
Predicate shortName P43 FINISHED
Object RNP E196559 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: RNP | Statement: [RNP, shortName, RNP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RNP
Context triple: [RNP, shortName, RNP]
  • A. RNP chosen
    RNP is the commonly used abbreviation for the Canadian federal electoral district of Renfrew—Nipissing—Pembroke in Ontario.
  • B. RPN
    RPN is a mathematical notation in which every operator follows all of its operands, eliminating the need for parentheses and simplifying expression evaluation, especially in stack-based calculators and computing.
  • C. RNR
    RNR is the abbreviation for the Royal Naval Reserve, the volunteer reserve force of the United Kingdom’s Royal Navy.
  • D. NRPs
    NRPs are strategic policy documents prepared by EU member states outlining their plans and measures to implement the Union’s economic and structural reform objectives, particularly under the Europe 2020 and European Semester frameworks.
  • E. RVR
    RVR is the standard abbreviation for the Reina-Valera, a widely used Spanish translation of the Bible.
  • 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_69ca82efbce081908179b4b9c65096eb completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdc79af13c81909349ae0b0d5da946 completed April 2, 2026, 1:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69d257fe0e348190b55fbd38e21cff7c completed April 5, 2026, 12:39 p.m.
Created at: March 30, 2026, 8:49 p.m.