Triple
T3763668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biological and Environmental Research program |
E82619
|
entity |
| Predicate | hasSubprogram |
P17453
|
FINISHED |
| Object |
Regional and Global Model Analysis
Regional and Global Model Analysis is a research subprogram focused on developing and applying advanced climate and Earth system models to understand environmental processes and project future regional and global changes.
|
E88904
|
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: Regional and Global Model Analysis | Statement: [Biological and Environmental Research program, hasSubprogram, Regional and Global Model Analysis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Regional and Global Model Analysis Context triple: [Biological and Environmental Research program, hasSubprogram, Regional and Global Model Analysis]
-
A.
Global Data-processing and Forecasting System
The Global Data-processing and Forecasting System is an international meteorological infrastructure that collects, processes, and distributes weather and climate data to support global forecasting and early warning services.
-
B.
Goddard Earth Observing System models
The Goddard Earth Observing System models are a suite of advanced atmospheric and Earth system models used for global weather, climate, and data assimilation research and forecasting.
-
C.
Manabe–Wetherald climate model
The Manabe–Wetherald climate model is a pioneering one-dimensional radiative–convective model that first quantified how increasing atmospheric carbon dioxide affects Earth’s temperature and vertical temperature profile.
-
D.
Real-time Multivariate MJO index
The Real-time Multivariate MJO index is a widely used diagnostic tool that quantifies the strength and phase of the Madden–Julian Oscillation using combined atmospheric and oceanic variables.
-
E.
Global Framework for Climate Services
The Global Framework for Climate Services is a United Nations-led initiative that coordinates the production and use of climate information to support decision-making in areas such as agriculture, water management, health, and disaster risk reduction worldwide.
- 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: Regional and Global Model Analysis Triple: [Biological and Environmental Research program, hasSubprogram, Regional and Global Model Analysis]
Generated description
Regional and Global Model Analysis is a research subprogram focused on developing and applying advanced climate and Earth system models to understand environmental processes and project future regional and global changes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Regional and Global Model Analysis Target entity description: Regional and Global Model Analysis is a research subprogram focused on developing and applying advanced climate and Earth system models to understand environmental processes and project future regional and global changes.
-
A.
Global Data-processing and Forecasting System
The Global Data-processing and Forecasting System is an international meteorological infrastructure that collects, processes, and distributes weather and climate data to support global forecasting and early warning services.
-
B.
Goddard Earth Observing System models
chosen
The Goddard Earth Observing System models are a suite of advanced atmospheric and Earth system models used for global weather, climate, and data assimilation research and forecasting.
-
C.
Manabe–Wetherald climate model
The Manabe–Wetherald climate model is a pioneering one-dimensional radiative–convective model that first quantified how increasing atmospheric carbon dioxide affects Earth’s temperature and vertical temperature profile.
-
D.
Real-time Multivariate MJO index
The Real-time Multivariate MJO index is a widely used diagnostic tool that quantifies the strength and phase of the Madden–Julian Oscillation using combined atmospheric and oceanic variables.
-
E.
Global Framework for Climate Services
The Global Framework for Climate Services is a United Nations-led initiative that coordinates the production and use of climate information to support decision-making in areas such as agriculture, water management, health, and disaster risk reduction worldwide.
- 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_69ad8b207b0081909d2b48843fbd8795 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcbfbecf8819099d80af480cbe2d2 |
completed | March 8, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e51e54108190ab60e189cfbb0db0 |
completed | March 14, 2026, 4:33 a.m. |
| NEDg | Description generation | batch_69b4e6a49ffc81908d6322b1ca6f6327 |
completed | March 14, 2026, 4:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4e7311cc4819098926b36b94cae96 |
completed | March 14, 2026, 4:42 a.m. |
Created at: March 8, 2026, 3:35 p.m.