Triple

T1744619
Position Surface form Disambiguated ID Type / Status
Subject Regional Specialized Meteorological Centres E38308 entity
Predicate hasMember P10 FINISHED
Object RSMC Beijing
RSMC Beijing is a World Meteorological Organization-designated regional center in China that provides specialized meteorological forecasting and warning services, particularly for severe weather and environmental hazards, to countries in its area of responsibility.
E224868 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: RSMC Beijing | Statement: [Regional Specialized Meteorological Centres, hasMember, RSMC Beijing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RSMC Beijing
Context triple: [Regional Specialized Meteorological Centres, hasMember, RSMC Beijing]
  • A. RSMC Nadi
    RSMC Nadi is a World Meteorological Organization-designated regional center in Fiji responsible for tropical cyclone forecasting and warnings in the South Pacific region.
  • B. RSMC Honolulu
    RSMC Honolulu is a World Meteorological Organization-designated center responsible for specialized tropical cyclone forecasting and related meteorological services in the Central Pacific region.
  • C. RSMC Wellington
    RSMC Wellington is a specialized meteorological center operated by New Zealand’s MetService that provides regional forecasting and warning services, particularly for severe weather and tropical cyclones in the South Pacific.
  • D. RSMC Melbourne
    RSMC Melbourne is a World Meteorological Organization-designated center in Australia that provides specialized meteorological services, particularly for tropical cyclone and severe weather monitoring and forecasting in its assigned region.
  • E. RSMC Montreal
    RSMC Montreal is a World Meteorological Organization-designated center in Canada that provides specialized meteorological services, particularly for environmental emergencies such as atmospheric transport and dispersion of pollutants.
  • 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: RSMC Beijing
Triple: [Regional Specialized Meteorological Centres, hasMember, RSMC Beijing]
Generated description
RSMC Beijing is a World Meteorological Organization-designated regional center in China that provides specialized meteorological forecasting and warning services, particularly for severe weather and environmental hazards, to countries in its area of responsibility.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: RSMC Beijing
Target entity description: RSMC Beijing is a World Meteorological Organization-designated regional center in China that provides specialized meteorological forecasting and warning services, particularly for severe weather and environmental hazards, to countries in its area of responsibility.
  • A. RSMC Nadi
    RSMC Nadi is a World Meteorological Organization-designated regional center in Fiji responsible for tropical cyclone forecasting and warnings in the South Pacific region.
  • B. RSMC Honolulu
    RSMC Honolulu is a World Meteorological Organization-designated center responsible for specialized tropical cyclone forecasting and related meteorological services in the Central Pacific region.
  • C. RSMC Wellington
    RSMC Wellington is a specialized meteorological center operated by New Zealand’s MetService that provides regional forecasting and warning services, particularly for severe weather and tropical cyclones in the South Pacific.
  • D. RSMC Melbourne
    RSMC Melbourne is a World Meteorological Organization-designated center in Australia that provides specialized meteorological services, particularly for tropical cyclone and severe weather monitoring and forecasting in its assigned region.
  • E. RSMC Montreal
    RSMC Montreal is a World Meteorological Organization-designated center in Canada that provides specialized meteorological services, particularly for environmental emergencies such as atmospheric transport and dispersion of pollutants.
  • 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_69a8862b01a48190ab47209063af82d9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63e804848190a19c10f4e609e900 completed March 6, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0ab3a140819081dbb7b19e33051c completed March 8, 2026, 11:48 p.m.
NEDg Description generation batch_69ae0b62dd048190acf6f9d76e5bfd47 completed March 8, 2026, 11:50 p.m.
NED2 Entity disambiguation (via description) batch_69ae0be695cc819093c237e19de9b731 completed March 8, 2026, 11:53 p.m.
Created at: March 4, 2026, 7:31 p.m.