Triple

T1744643
Position Surface form Disambiguated ID Type / Status
Subject Regional Specialized Meteorological Centres E38308 entity
Predicate hasMember P10 FINISHED
Object RSMC Moscow (space weather centre)
RSMC Moscow (space weather centre) is a World Meteorological Organization-designated regional hub that monitors and forecasts space weather conditions affecting Earth and technological systems.
E201537 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 Moscow (space weather centre) | Statement: [Regional Specialized Meteorological Centres, hasMember, RSMC Moscow (space weather centre)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RSMC Moscow (space weather centre)
Context triple: [Regional Specialized Meteorological Centres, hasMember, RSMC Moscow (space weather centre)]
  • A. RSMC Beijing (space weather centre)
    RSMC Beijing (space weather centre) is a World Meteorological Organization-designated regional hub in China that monitors, analyzes, and provides forecasts and warnings on space weather conditions affecting Earth and near-Earth space.
  • B. RSMC Toulouse (space weather centre)
    RSMC Toulouse (space weather centre) is a specialized meteorological facility in Toulouse, France, that monitors and forecasts space weather conditions and their impacts on Earth and technological systems.
  • C. RSMC Exeter (space weather centre)
    RSMC Exeter (space weather centre) is a UK-based World Meteorological Organization regional hub that monitors and forecasts space weather conditions and their impacts on Earth and technological systems.
  • D. Space Weather Prediction Center
    The Space Weather Prediction Center is a U.S. government facility that monitors solar and geomagnetic activity and issues forecasts and alerts about space weather impacts on Earth and technological systems.
  • E. RSMC Montreal (volcanic ash advisory centre)
    RSMC Montreal (volcanic ash advisory centre) is a World Meteorological Organization-designated center in Canada responsible for monitoring volcanic ash and issuing advisories to support aviation safety and atmospheric hazard management.
  • 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 Moscow (space weather centre)
Triple: [Regional Specialized Meteorological Centres, hasMember, RSMC Moscow (space weather centre)]
Generated description
RSMC Moscow (space weather centre) is a World Meteorological Organization-designated regional hub that monitors and forecasts space weather conditions affecting Earth and technological systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: RSMC Moscow (space weather centre)
Target entity description: RSMC Moscow (space weather centre) is a World Meteorological Organization-designated regional hub that monitors and forecasts space weather conditions affecting Earth and technological systems.
  • A. RSMC Beijing (space weather centre)
    RSMC Beijing (space weather centre) is a World Meteorological Organization-designated regional hub in China that monitors, analyzes, and provides forecasts and warnings on space weather conditions affecting Earth and near-Earth space.
  • B. RSMC Toulouse (space weather centre)
    RSMC Toulouse (space weather centre) is a specialized meteorological facility in Toulouse, France, that monitors and forecasts space weather conditions and their impacts on Earth and technological systems.
  • C. RSMC Exeter (space weather centre)
    RSMC Exeter (space weather centre) is a UK-based World Meteorological Organization regional hub that monitors and forecasts space weather conditions and their impacts on Earth and technological systems.
  • D. Space Weather Prediction Center
    The Space Weather Prediction Center is a U.S. government facility that monitors solar and geomagnetic activity and issues forecasts and alerts about space weather impacts on Earth and technological systems.
  • E. RSMC Montreal (volcanic ash advisory centre)
    RSMC Montreal (volcanic ash advisory centre) is a World Meteorological Organization-designated center in Canada responsible for monitoring volcanic ash and issuing advisories to support aviation safety and atmospheric hazard management.
  • 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_69adb5c28ac881909ba2a7e5c2067127 completed March 8, 2026, 5:45 p.m.
NEDg Description generation batch_69adb8b3c0a48190bf5f3a32d8862c54 completed March 8, 2026, 5:58 p.m.
NED2 Entity disambiguation (via description) batch_69adb97b8c8081909a806d16efd5882b completed March 8, 2026, 6:01 p.m.
Created at: March 4, 2026, 7:31 p.m.