Triple
T1744628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regional Specialized Meteorological Centres |
E38308
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
RSMC Exeter (environmental emergency response)
RSMC Exeter (environmental emergency response) is a specialized meteorological center operated by the UK Met Office that provides expert forecasting and guidance for environmental hazards and emergencies such as volcanic ash, atmospheric pollution, and other transboundary events.
|
E191655
|
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 Exeter (environmental emergency response) | Statement: [Regional Specialized Meteorological Centres, hasMember, RSMC Exeter (environmental emergency response)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RSMC Exeter (environmental emergency response) Context triple: [Regional Specialized Meteorological Centres, hasMember, RSMC Exeter (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.
Maritime and Coastguard Agency
The Maritime and Coastguard Agency is a UK government body responsible for maritime safety, search and rescue coordination, and enforcing shipping and environmental regulations in UK waters.
-
C.
SEACEN Centre
The SEACEN Centre is a regional training and research institution that supports central banks and monetary authorities in the Asia-Pacific region through capacity building and policy collaboration.
-
D.
World Meteorological Centres
World Meteorological Centres are major global hubs designated by the World Meteorological Organization to provide high-quality weather analyses, forecasts, and related data services to support international meteorological operations.
-
E.
Maritime Operations Center
The Maritime Operations Center is a command and control facility of the Japan Maritime Self-Defense Force responsible for monitoring, coordinating, and directing the nation’s naval operations.
- 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 Exeter (environmental emergency response) Triple: [Regional Specialized Meteorological Centres, hasMember, RSMC Exeter (environmental emergency response)]
Generated description
RSMC Exeter (environmental emergency response) is a specialized meteorological center operated by the UK Met Office that provides expert forecasting and guidance for environmental hazards and emergencies such as volcanic ash, atmospheric pollution, and other transboundary events.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RSMC Exeter (environmental emergency response) Target entity description: RSMC Exeter (environmental emergency response) is a specialized meteorological center operated by the UK Met Office that provides expert forecasting and guidance for environmental hazards and emergencies such as volcanic ash, atmospheric pollution, and other transboundary events.
-
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.
Maritime and Coastguard Agency
The Maritime and Coastguard Agency is a UK government body responsible for maritime safety, search and rescue coordination, and enforcing shipping and environmental regulations in UK waters.
-
C.
SEACEN Centre
The SEACEN Centre is a regional training and research institution that supports central banks and monetary authorities in the Asia-Pacific region through capacity building and policy collaboration.
-
D.
World Meteorological Centres
chosen
World Meteorological Centres are major global hubs designated by the World Meteorological Organization to provide high-quality weather analyses, forecasts, and related data services to support international meteorological operations.
-
E.
Maritime Operations Center
The Maritime Operations Center is a command and control facility of the Japan Maritime Self-Defense Force responsible for monitoring, coordinating, and directing the nation’s naval operations.
- 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_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.