Triple
T1744624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regional Specialized Meteorological Centres |
E38308
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
RSMC Beijing (environmental emergency response)
RSMC Beijing (environmental emergency response) is a World Meteorological Organization-designated center in China that provides specialized meteorological support and forecasting for environmental emergencies such as atmospheric pollution and hazardous substance releases.
|
E197602
|
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: RSMC Beijing (environmental emergency response) | Statement: [Regional Specialized Meteorological Centres, hasMember, RSMC Beijing (environmental emergency response)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RSMC Beijing (environmental emergency response) Context triple: [Regional Specialized Meteorological Centres, hasMember, RSMC Beijing (environmental emergency response)]
-
A.
National Meteorological and Hydrological Services
National Meteorological and Hydrological Services are national agencies responsible for monitoring, forecasting, and providing information on weather, climate, and water resources to support public safety, economic activities, and environmental management.
-
B.
Chinese Arctic and Antarctic Administration
The Chinese Arctic and Antarctic Administration is China’s governmental body responsible for organizing, managing, and overseeing the nation’s polar scientific research and expeditions.
-
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.
Japan Meteorological Agency
The Japan Meteorological Agency is Japan’s national authority responsible for weather forecasting, climate monitoring, earthquake and tsunami warnings, and related environmental observations.
-
E.
Beihai
Beihai is a coastal city in China's Guangxi Zhuang Autonomous Region, known for its beaches, maritime trade, and the scenic Silver Beach tourist area.
- 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: RSMC Beijing (environmental emergency response) Triple: [Regional Specialized Meteorological Centres, hasMember, RSMC Beijing (environmental emergency response)]
Generated description
RSMC Beijing (environmental emergency response) is a World Meteorological Organization-designated center in China that provides specialized meteorological support and forecasting for environmental emergencies such as atmospheric pollution and hazardous substance releases.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RSMC Beijing (environmental emergency response) Target entity description: RSMC Beijing (environmental emergency response) is a World Meteorological Organization-designated center in China that provides specialized meteorological support and forecasting for environmental emergencies such as atmospheric pollution and hazardous substance releases.
-
A.
National Meteorological and Hydrological Services
National Meteorological and Hydrological Services are national agencies responsible for monitoring, forecasting, and providing information on weather, climate, and water resources to support public safety, economic activities, and environmental management.
-
B.
Chinese Arctic and Antarctic Administration
The Chinese Arctic and Antarctic Administration is China’s governmental body responsible for organizing, managing, and overseeing the nation’s polar scientific research and expeditions.
-
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.
Japan Meteorological Agency
The Japan Meteorological Agency is Japan’s national authority responsible for weather forecasting, climate monitoring, earthquake and tsunami warnings, and related environmental observations.
-
E.
Beihai
Beihai is a coastal city in China's Guangxi Zhuang Autonomous Region, known for its beaches, maritime trade, and the scenic Silver Beach tourist area.
- 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_69a8862b01a48190ab47209063af82d9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa63e804848190a19c10f4e609e900 |
completed | March 6, 2026, 5:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada0de0ff08190bb7758e3ba32de80 |
completed | March 8, 2026, 4:16 p.m. |
| NEDg | Description generation | batch_69ada524a234819082f94430da4e802d |
completed | March 8, 2026, 4:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ada5bc32ac8190a921410bdfa465fa |
completed | March 8, 2026, 4:37 p.m. |
Created at: March 4, 2026, 7:31 p.m.