Triple

T21268231
Position Surface form Disambiguated ID Type / Status
Subject George James Symons E524185 entity
Predicate notableWork P4 FINISHED
Object British Rainfall Organisation annual reports — NE NERFINISHED

How this triple was built (3 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: British Rainfall Organisation annual reports | Statement: [George James Symons, notableWork, British Rainfall Organisation annual reports]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: British Rainfall Organisation annual reports
Context triple: [George James Symons, notableWork, British Rainfall Organisation annual reports]
  • A. Met Office
    The Met Office is the United Kingdom's national meteorological service, responsible for weather forecasting, climate science, and related research.
  • B. 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.
  • C. Royal Meteorological Society
    The Royal Meteorological Society is a leading UK-based learned society and professional body dedicated to advancing the understanding of weather, climate, and atmospheric science.
  • D. World Weather Watch
    World Weather Watch is a global program that coordinates the collection, processing, and exchange of meteorological data to support weather forecasting and climate monitoring worldwide.
  • E. World Weather Research Programme
    The World Weather Research Programme is an international initiative led by the World Meteorological Organization that advances research to improve weather prediction and related services worldwide.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: British Rainfall Organisation annual reports
Target entity description: The British Rainfall Organisation annual reports were systematic publications documenting and analyzing rainfall patterns across the United Kingdom, foundational to the development of modern British meteorological and hydrological records.
  • A. Met Office
    The Met Office is the United Kingdom's national meteorological service, responsible for weather forecasting, climate science, and related research.
  • B. 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.
  • C. Royal Meteorological Society
    The Royal Meteorological Society is a leading UK-based learned society and professional body dedicated to advancing the understanding of weather, climate, and atmospheric science.
  • D. World Weather Watch
    World Weather Watch is a global program that coordinates the collection, processing, and exchange of meteorological data to support weather forecasting and climate monitoring worldwide.
  • E. World Weather Research Programme
    The World Weather Research Programme is an international initiative led by the World Meteorological Organization that advances research to improve weather prediction and related services worldwide.
  • F. None of above. chosen

Provenance (2 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_69e0b5156d7881909bd4f83676590715 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735ee38cc81909b4e7c5996bb64f9 completed April 21, 2026, 8:31 a.m.
Created at: April 16, 2026, 4 p.m.