Triple

T8224743
Position Surface form Disambiguated ID Type / Status
Subject WMO Integrated Global Observing System E192148 entity
Predicate hasPart P35 FINISHED
Object WIGOS Data Quality Monitoring System
The WIGOS Data Quality Monitoring System is a World Meteorological Organization tool that continuously evaluates and reports on the performance and quality of meteorological and environmental observations within the WMO Integrated Global Observing System.
E719609 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: WIGOS Data Quality Monitoring System | Statement: [WMO Integrated Global Observing System, hasPart, WIGOS Data Quality Monitoring System]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WIGOS Data Quality Monitoring System
Context triple: [WMO Integrated Global Observing System, hasPart, WIGOS Data Quality Monitoring System]
  • A. 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.
  • 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. Integrated Ocean Observing System Program
    The Integrated Ocean Observing System Program is a U.S. federal initiative that coordinates and supports nationwide coastal and ocean observing networks to provide real-time data for marine operations, environmental monitoring, and decision-making.
  • D. 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.
  • E. WMO Global Atmosphere Watch Station Network
    The WMO Global Atmosphere Watch Station Network is an international system of monitoring stations that provide high-quality, long-term observations of atmospheric composition and related variables to support climate, air quality, and environmental research and policy.
  • 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: WIGOS Data Quality Monitoring System
Triple: [WMO Integrated Global Observing System, hasPart, WIGOS Data Quality Monitoring System]
Generated description
The WIGOS Data Quality Monitoring System is a World Meteorological Organization tool that continuously evaluates and reports on the performance and quality of meteorological and environmental observations within the WMO Integrated Global Observing System.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: WIGOS Data Quality Monitoring System
Target entity description: The WIGOS Data Quality Monitoring System is a World Meteorological Organization tool that continuously evaluates and reports on the performance and quality of meteorological and environmental observations within the WMO Integrated Global Observing System.
  • A. 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.
  • 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. Integrated Ocean Observing System Program
    The Integrated Ocean Observing System Program is a U.S. federal initiative that coordinates and supports nationwide coastal and ocean observing networks to provide real-time data for marine operations, environmental monitoring, and decision-making.
  • D. 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.
  • E. WMO Global Atmosphere Watch Station Network
    The WMO Global Atmosphere Watch Station Network is an international system of monitoring stations that provide high-quality, long-term observations of atmospheric composition and related variables to support climate, air quality, and environmental research and policy.
  • 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_69ca82c9a8ac81908b011c38698456e4 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb77cdcc248190bc6c5b0271da8a08 completed March 31, 2026, 7:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccee0fd9d0819094350c9c7887cabe completed April 1, 2026, 10:06 a.m.
NEDg Description generation batch_69ccf1bc720081908c4eabf58336318a completed April 1, 2026, 10:21 a.m.
NED2 Entity disambiguation (via description) batch_69cd05f26f9c8190a3cc00c03c6dda95 completed April 1, 2026, 11:48 a.m.
Created at: March 30, 2026, 5:45 p.m.