Triple

T8377241
Position Surface form Disambiguated ID Type / Status
Subject RSMC Buenos Aires (volcanic ash advisory centre) E197605 entity
Predicate relatedTo P37 FINISHED
Object RSMC Tokyo (volcanic ash advisory centre)
RSMC Tokyo (volcanic ash advisory centre) is a specialized meteorological center in Japan responsible for monitoring volcanic activity and issuing international volcanic ash advisories for aviation safety in its designated region.
 E731279 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 Tokyo (volcanic ash advisory centre) | Statement: [RSMC Buenos Aires (volcanic ash advisory centre), relatedTo, RSMC Tokyo (volcanic ash advisory centre)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RSMC Tokyo (volcanic ash advisory centre)
Context triple: [RSMC Buenos Aires (volcanic ash advisory centre), relatedTo, RSMC Tokyo (volcanic ash advisory centre)]
  • A. RSMC Washington (volcanic ash advisory centre)
    RSMC Washington (volcanic ash advisory centre) is a specialized meteorological center operated by the United States that monitors volcanic activity and issues international volcanic ash advisories for aviation safety.
  • B. RSMC Toulouse (volcanic ash advisory centre)
    RSMC Toulouse is a specialized meteorological center operated by Météo-France that provides international volcanic ash advisories to support aviation safety and hazard monitoring.
  • C. RSMC Anchorage (volcanic ash advisory centre)
    RSMC Anchorage is a specialized meteorological center responsible for monitoring and issuing advisories on volcanic ash clouds affecting aviation in its designated region.
  • D. RSMC Wellington (volcanic ash advisory centre)
    RSMC Wellington (volcanic ash advisory centre) is a specialized meteorological center responsible for monitoring and issuing advisories on volcanic ash clouds to support aviation safety in its designated region.
  • E. RSMC Darwin (volcanic ash advisory centre)
    RSMC Darwin is a World Meteorological Organization-designated Volcanic Ash Advisory Centre responsible for monitoring and issuing warnings about volcanic ash clouds in its assigned region, particularly over parts of Australia and Southeast Asia.
  • 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 Tokyo (volcanic ash advisory centre)
Triple: [RSMC Buenos Aires (volcanic ash advisory centre), relatedTo, RSMC Tokyo (volcanic ash advisory centre)]
Generated description
RSMC Tokyo (volcanic ash advisory centre) is a specialized meteorological center in Japan responsible for monitoring volcanic activity and issuing international volcanic ash advisories for aviation safety in its designated region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RSMC Tokyo (volcanic ash advisory centre)
Target entity description: RSMC Tokyo (volcanic ash advisory centre) is a specialized meteorological center in Japan responsible for monitoring volcanic activity and issuing international volcanic ash advisories for aviation safety in its designated region.
  • A. RSMC Washington (volcanic ash advisory centre)
    RSMC Washington (volcanic ash advisory centre) is a specialized meteorological center operated by the United States that monitors volcanic activity and issues international volcanic ash advisories for aviation safety.
  • B. RSMC Toulouse (volcanic ash advisory centre)
    RSMC Toulouse is a specialized meteorological center operated by Météo-France that provides international volcanic ash advisories to support aviation safety and hazard monitoring.
  • C. RSMC Anchorage (volcanic ash advisory centre)
    RSMC Anchorage is a specialized meteorological center responsible for monitoring and issuing advisories on volcanic ash clouds affecting aviation in its designated region.
  • D. RSMC Wellington (volcanic ash advisory centre)
    RSMC Wellington (volcanic ash advisory centre) is a specialized meteorological center responsible for monitoring and issuing advisories on volcanic ash clouds to support aviation safety in its designated region.
  • E. RSMC Darwin (volcanic ash advisory centre)
    RSMC Darwin is a World Meteorological Organization-designated Volcanic Ash Advisory Centre responsible for monitoring and issuing warnings about volcanic ash clouds in its assigned region, particularly over parts of Australia and Southeast Asia.
  • 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_69ca82f64c188190af4e1608036b865d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80c094908190afe9cc54ce4f4d58 completed March 31, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce02b4d840819090a0eaadaff9c9f9 completed April 2, 2026, 5:46 a.m.
NEDg Description generation batch_69ce077d8af0819082a7ea67a2c11ddd completed April 2, 2026, 6:06 a.m.
NED2 Entity disambiguation (via description) batch_69ce082078108190867044f45bc0a806 completed April 2, 2026, 6:09 a.m.
Created at: March 30, 2026, 6:02 p.m.