Triple

T8725097
Position Surface form Disambiguated ID Type / Status
Subject RSMC Nadi E207110 entity
Predicate partOf P40 FINISHED
Object WMO tropical cyclone regional warning system
The WMO tropical cyclone regional warning system is a global framework coordinated by the World Meteorological Organization that designates specialized centers to monitor, forecast, and issue warnings for tropical cyclones in specific ocean basins.
E747039 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: WMO tropical cyclone regional warning system | Statement: [RSMC Nadi, partOf, WMO tropical cyclone regional warning system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WMO tropical cyclone regional warning system
Context triple: [RSMC Nadi, partOf, WMO tropical cyclone regional warning system]
  • A. WMO Tropical Cyclone Programme
    The WMO Tropical Cyclone Programme is a World Meteorological Organization initiative that coordinates global efforts in monitoring, forecasting, and mitigating the impacts of tropical cyclones through a network of specialized regional centers and international collaboration.
  • B. World Weather Watch
    World Weather Watch is a global program that coordinates the collection, processing, and exchange of meteorological data to support weather forecasting and climate monitoring worldwide.
  • C. National Meteorological Telecommunication Networks
    National Meteorological Telecommunication Networks are country-level systems that collect, process, and exchange meteorological data and forecasts, feeding into and operating within the World Meteorological Organization’s Global Telecommunication System.
  • D. WMO Information System
    The WMO Information System is the World Meteorological Organization’s global infrastructure for collecting, sharing, and distributing weather, climate, and water data among member states and users.
  • E. Global Tropics Hazards Outlook
    The Global Tropics Hazards Outlook is a weekly Climate Prediction Center forecast product that highlights potential tropical climate hazards such as heavy rainfall, drought, and tropical cyclone development across the global tropics.
  • 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: WMO tropical cyclone regional warning system
Triple: [RSMC Nadi, partOf, WMO tropical cyclone regional warning system]
Generated description
The WMO tropical cyclone regional warning system is a global framework coordinated by the World Meteorological Organization that designates specialized centers to monitor, forecast, and issue warnings for tropical cyclones in specific ocean basins.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: WMO tropical cyclone regional warning system
Target entity description: The WMO tropical cyclone regional warning system is a global framework coordinated by the World Meteorological Organization that designates specialized centers to monitor, forecast, and issue warnings for tropical cyclones in specific ocean basins.
  • A. WMO Tropical Cyclone Programme chosen
    The WMO Tropical Cyclone Programme is a World Meteorological Organization initiative that coordinates global efforts in monitoring, forecasting, and mitigating the impacts of tropical cyclones through a network of specialized regional centers and international collaboration.
  • B. World Weather Watch
    World Weather Watch is a global program that coordinates the collection, processing, and exchange of meteorological data to support weather forecasting and climate monitoring worldwide.
  • C. National Meteorological Telecommunication Networks
    National Meteorological Telecommunication Networks are country-level systems that collect, process, and exchange meteorological data and forecasts, feeding into and operating within the World Meteorological Organization’s Global Telecommunication System.
  • D. WMO Information System
    The WMO Information System is the World Meteorological Organization’s global infrastructure for collecting, sharing, and distributing weather, climate, and water data among member states and users.
  • E. Global Tropics Hazards Outlook
    The Global Tropics Hazards Outlook is a weekly Climate Prediction Center forecast product that highlights potential tropical climate hazards such as heavy rainfall, drought, and tropical cyclone development across the global tropics.
  • F. None of above.

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_69ca835811d8819081ea00fd2a2c9a1c completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d1404948190bc45d14a1ddb1a7e completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf2908fec08190a286a082060a47bc completed April 3, 2026, 2:42 a.m.
NEDg Description generation batch_69cf2bd32cc881909ac8a61befa9929e completed April 3, 2026, 2:54 a.m.
NED2 Entity disambiguation (via description) batch_69cf2c69f83481909423858668d03a8b completed April 3, 2026, 2:56 a.m.
Created at: March 30, 2026, 6:36 p.m.