Triple

T8205248
Position Surface form Disambiguated ID Type / Status
Subject Regional Association VI (Europe) E191671 entity
Predicate shortName P43 FINISHED
Object RA VI
RA VI is the World Meteorological Organization’s Regional Association for Europe, coordinating meteorological and hydrological activities across European member states.
 E719399 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: RA VI | Statement: [Regional Association VI (Europe), shortName, RA VI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RA VI
Context triple: [Regional Association VI (Europe), shortName, RA VI]
  • A. RAJ
    RAJ is the IATA airport code for Rajkot Airport, which serves the city of Rajkot in the Indian state of Gujarat.
  • B. RIV
    RIV is the IATA airport code for March Air Reserve Base, a military airfield in Riverside County, California.
  • C. Ris
    Ris is a residential neighborhood in Oslo, Norway, known for its leafy streets, proximity to nature, and access via the Holmenkollen Line.
  • D. Raí
    Raí is a legendary Brazilian attacking midfielder best known for his successful spells with São Paulo FC and Paris Saint-Germain, as well as his role in Brazil’s 1994 World Cup–winning squad.
  • E. Rinas
    Rinas is a village near Tirana in Albania best known as the location of the country’s main international airport.
  • 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: RA VI
Triple: [Regional Association VI (Europe), shortName, RA VI]
Generated description
RA VI is the World Meteorological Organization’s Regional Association for Europe, coordinating meteorological and hydrological activities across European member states.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RA VI
Target entity description: RA VI is the World Meteorological Organization’s Regional Association for Europe, coordinating meteorological and hydrological activities across European member states.
  • A. RAJ
    RAJ is the IATA airport code for Rajkot Airport, which serves the city of Rajkot in the Indian state of Gujarat.
  • B. RIV
    RIV is the IATA airport code for March Air Reserve Base, a military airfield in Riverside County, California.
  • C. Ris
    Ris is a residential neighborhood in Oslo, Norway, known for its leafy streets, proximity to nature, and access via the Holmenkollen Line.
  • D. Raí
    Raí is a legendary Brazilian attacking midfielder best known for his successful spells with São Paulo FC and Paris Saint-Germain, as well as his role in Brazil’s 1994 World Cup–winning squad.
  • E. Rinas
    Rinas is a village near Tirana in Albania best known as the location of the country’s main international airport.
  • 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_69ca82c7f3e08190857bf1fc63b2a10c completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb726a301c8190a4b2d3d184b7e448 completed March 31, 2026, 7:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccedd27bc08190a8109217069a8978 completed April 1, 2026, 10:05 a.m.
NEDg Description generation batch_69ccf1b818588190936f96d53bf08c2b completed April 1, 2026, 10:21 a.m.
NED2 Entity disambiguation (via description) batch_69cd05c2059081908bd04ee4722f9aad completed April 1, 2026, 11:47 a.m.
Created at: March 30, 2026, 5:43 p.m.