Triple

T6040646
Position Surface form Disambiguated ID Type / Status
Subject Rwandan franc E134534 entity
Predicate symbol P129 FINISHED
Object R₣
R₣ is the currency sign used to denote the Rwandan franc, the official monetary unit of Rwanda.
 E564752 NE FINISHED

How this triple was built (4 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: R₣ | Statement: [Rwandan franc, symbol, R₣]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: R₣
Context triple: [Rwandan franc, symbol, R₣]
  • A. FR-59
    FR-59 is the ISO 3166-2 code for Nord, a department in northern France known for its industrial history and proximity to Belgium.
  • B. FUK
    FUK is the IATA airport code for Fukuoka Airport, a major international and domestic air hub serving the city of Fukuoka in Japan.
  • 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. FRF
    FRF is a NUTS 1 statistical region code designating the French region of Brittany within the European Union’s territorial classification system.
  • E. RYR
    RYR is the ICAO airline designator used for Ryanair, a major Irish low-cost carrier operating extensive routes across Europe.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: R₣
Triple: [Rwandan franc, symbol, R₣]
Generated description
R₣ is the currency sign used to denote the Rwandan franc, the official monetary unit of Rwanda.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: R₣
Target entity description: R₣ is the currency sign used to denote the Rwandan franc, the official monetary unit of Rwanda.
  • A. FR-59
    FR-59 is the ISO 3166-2 code for Nord, a department in northern France known for its industrial history and proximity to Belgium.
  • B. FUK
    FUK is the IATA airport code for Fukuoka Airport, a major international and domestic air hub serving the city of Fukuoka in Japan.
  • 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. FRF
    FRF is a NUTS 1 statistical region code designating the French region of Brittany within the European Union’s territorial classification system.
  • E. RYR
    RYR is the ICAO airline designator used for Ryanair, a major Irish low-cost carrier operating extensive routes across Europe.
  • F. None of above. chosen

Provenance (5 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.
NEDg Description generation batch_69c11560824081909d1228056607a3bd completed March 23, 2026, 10:26 a.m.
NED2 Entity disambiguation (via description) batch_69c11607805c8190a9bc734479b1cb8d completed March 23, 2026, 10:29 a.m.
Created at: March 22, 2026, 4:08 p.m.