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.