Triple

T16430383
Position Surface form Disambiguated ID Type / Status
Subject Global Modeling and Assimilation Office E399057 entity
Predicate instanceOf P0 FINISHED
Object data assimilation center C37439 CONCEPT FINISHED

How this triple was built (1 step)

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.

CD Concept disambiguation gpt-5-mini-2025-08-07 
Target class: data assimilation center
Context triple: [Global Modeling and Assimilation Office, instanceOf, data assimilation center]
  • A. global data-processing and forecasting system
    A global data-processing and forecasting system is an integrated platform that ingests, cleans, analyzes, and models large-scale, heterogeneous data from worldwide sources to generate timely predictions and insights for decision-making.
  • B. global environmental data centre
    A global environmental data centre is an organization that collects, curates, archives, and distributes worldwide environmental and climate data to support research, policy-making, and public information.
  • C. component of Global Data-processing and Forecasting System
    A component of the Global Data-processing and Forecasting System is a modular subsystem that ingests, processes, analyzes, or disseminates environmental data to support the generation and delivery of global forecasts and related products.
  • D. component of Global Data-processing and Forecasting System
    A component of the Global Data-processing and Forecasting System is a modular subsystem that ingests, transforms, analyzes, or disseminates environmental data to support the generation and delivery of timely, accurate global forecasts.
  • E. meteorological data communication network
    A meteorological data communication network is a system of interconnected sensors, transmission links, and processing nodes that collect, transmit, and distribute weather and atmospheric data in real time.
  • F. None of above. chosen

Provenance (1 batch)

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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
Created at: April 10, 2026, 5:10 a.m.