Triple

T6040643
Position Surface form Disambiguated ID Type / Status
Subject Rwandan franc E134534 entity
Predicate ISO4217Code P189 FINISHED
Object RWF E134535 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: RWF | Statement: [Rwandan franc, ISO4217Code, RWF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RWF
Context triple: [Rwandan franc, ISO4217Code, RWF]
  • A. RWF chosen
    RWF is the currency code for the Rwandan franc, the official monetary unit of Rwanda.
  • B. WF
    WF is the common abbreviation for Wikifunctions, a Wikimedia project aimed at creating a collaborative catalog of reusable functions.
  • C. RIF
    RIF (Rule Interchange Format) is a W3C standard designed to enable the exchange and interoperability of rules across different Semantic Web systems and rule engines.
  • D. RWR
    RWR is the abbreviation for the Royal Winnipeg Rifles, an infantry regiment of the Canadian Army Reserve based in Winnipeg, Manitoba.
  • E. RWC
    RWC (Real World Crypto) is a leading annual conference focused on practical and applied cryptography, bringing together researchers and industry practitioners to discuss real-world cryptographic systems and challenges.
  • 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_69c00875db5c819099dd5bb833ec43c2 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056cf82d481909d5161fe3643e7ed completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11393f4ec81909f175de55694b44e completed March 23, 2026, 10:19 a.m.
Created at: March 22, 2026, 4:08 p.m.