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.