Triple

T9436109
Position Surface form Disambiguated ID Type / Status
Subject RSMC Toulouse E227510 entity
Predicate partOf P40 FINISHED
Object WMO Global Data-processing and Forecasting System E5839 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: WMO Global Data-processing and Forecasting System | Statement: [RSMC Toulouse, partOf, WMO Global Data-processing and Forecasting System]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WMO Global Data-processing and Forecasting System
Context triple: [RSMC Toulouse, partOf, WMO Global Data-processing and Forecasting System]
  • A. Global Data-processing and Forecasting System chosen
    The Global Data-processing and Forecasting System is an international meteorological infrastructure that collects, processes, and distributes weather and climate data to support global forecasting and early warning services.
  • B. 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.
  • 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 Integrated Global Observing System (WIGOS)
    The WMO Integrated Global Observing System (WIGOS) is the World Meteorological Organization’s framework for coordinating and integrating global meteorological, hydrological, climate and related Earth system observations from diverse platforms and networks.
  • E. World Meteorological Organization regional warning system
    The World Meteorological Organization regional warning system is a global network of specialized centers that monitor and issue alerts for severe weather and related hazards to support international safety and disaster risk reduction.
  • 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_69ca8437a7ac81908651de48f2d2141d completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7ede1e148190b5793863a851c92c completed April 1, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1104ed8d081909acb08b13cf35555 completed April 4, 2026, 1:21 p.m.
Created at: March 30, 2026, 7:50 p.m.