Triple

T3916094
Position Surface form Disambiguated ID Type / Status
Subject Japan Meteorological Agency E88842 entity
Predicate operates P24 FINISHED
Object Local Meteorological Observatories
Local Meteorological Observatories are regional weather and climate monitoring stations in Japan that provide localized forecasts, warnings, and meteorological data to support public safety and daily life.
E400523 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: Local Meteorological Observatories | Statement: [Japan Meteorological Agency, operates, Local Meteorological Observatories]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Local Meteorological Observatories
Context triple: [Japan Meteorological Agency, operates, Local Meteorological Observatories]
  • A. Regional Meteorological Observatories
    Regional Meteorological Observatories are regional branches of Japan’s national weather service that monitor atmospheric conditions, issue forecasts and warnings, and support disaster prevention across different areas of the country.
  • B. Regional Specialized Meteorological Centres
    Regional Specialized Meteorological Centres are designated meteorological institutions around the world that provide specialized weather analysis, forecasting, and warning services for specific regions under the World Meteorological Organization framework.
  • C. Regional Meteorological Telecommunication Network
    The Regional Meteorological Telecommunication Network is a coordinated communication system that links national meteorological networks to facilitate the exchange of weather and climate data across a broader geographic area.
  • D. 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.
  • E. Weather Forecast Offices
    Weather Forecast Offices are regional National Weather Service facilities responsible for monitoring local atmospheric conditions and issuing forecasts, warnings, and weather-related advisories to the public and emergency managers.
  • 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: Local Meteorological Observatories
Triple: [Japan Meteorological Agency, operates, Local Meteorological Observatories]
Generated description
Local Meteorological Observatories are regional weather and climate monitoring stations in Japan that provide localized forecasts, warnings, and meteorological data to support public safety and daily life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Local Meteorological Observatories
Target entity description: Local Meteorological Observatories are regional weather and climate monitoring stations in Japan that provide localized forecasts, warnings, and meteorological data to support public safety and daily life.
  • A. Regional Meteorological Observatories chosen
    Regional Meteorological Observatories are regional branches of Japan’s national weather service that monitor atmospheric conditions, issue forecasts and warnings, and support disaster prevention across different areas of the country.
  • B. Regional Specialized Meteorological Centres
    Regional Specialized Meteorological Centres are designated meteorological institutions around the world that provide specialized weather analysis, forecasting, and warning services for specific regions under the World Meteorological Organization framework.
  • C. Regional Meteorological Telecommunication Network
    The Regional Meteorological Telecommunication Network is a coordinated communication system that links national meteorological networks to facilitate the exchange of weather and climate data across a broader geographic area.
  • D. 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.
  • E. Weather Forecast Offices
    Weather Forecast Offices are regional National Weather Service facilities responsible for monitoring local atmospheric conditions and issuing forecasts, warnings, and weather-related advisories to the public and emergency managers.
  • 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_69aed955229881909e85e73ffab1d343 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeed55fe3881909776652f0d64f66c completed March 9, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5338223548190b8658740c0d879bc completed March 14, 2026, 10:08 a.m.
NEDg Description generation batch_69b5377a98f0819097152929081a384e completed March 14, 2026, 10:24 a.m.
NED2 Entity disambiguation (via description) batch_69b538113c9081908f3ec1f6ebc012c0 completed March 14, 2026, 10:27 a.m.
Created at: March 9, 2026, 3:22 p.m.