Triple
T3763667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biological and Environmental Research program |
E82619
|
entity |
| Predicate | hasSubprogram |
P17453
|
FINISHED |
| Object |
Earth System Model Development
Earth System Model Development is a research program focused on advancing comprehensive computer models that simulate the coupled atmosphere, ocean, land, ice, and biogeochemical processes of the Earth’s climate system.
|
E386206
|
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: Earth System Model Development | Statement: [Biological and Environmental Research program, hasSubprogram, Earth System Model Development]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Earth System Model Development Context triple: [Biological and Environmental Research program, hasSubprogram, Earth System Model Development]
-
A.
Earth system science
Earth system science is an interdisciplinary field that studies the Earth as an integrated system of interacting components—including the atmosphere, hydrosphere, biosphere, geosphere, and human activities—to understand global processes and changes.
-
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.
Clouds and the Earth’s Radiant Energy System
Clouds and the Earth’s Radiant Energy System (CERES) is a satellite instrument designed to measure the Earth’s radiation budget and study how clouds and aerosols affect the planet’s climate and energy balance.
-
E.
Center for Earth System Research and Sustainability
The Center for Earth System Research and Sustainability is a research institute at the University of Hamburg focused on interdisciplinary studies of the Earth’s climate system, environmental change, and sustainable development.
- 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: Earth System Model Development Triple: [Biological and Environmental Research program, hasSubprogram, Earth System Model Development]
Generated description
Earth System Model Development is a research program focused on advancing comprehensive computer models that simulate the coupled atmosphere, ocean, land, ice, and biogeochemical processes of the Earth’s climate system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Earth System Model Development Target entity description: Earth System Model Development is a research program focused on advancing comprehensive computer models that simulate the coupled atmosphere, ocean, land, ice, and biogeochemical processes of the Earth’s climate system.
-
A.
Earth system science
Earth system science is an interdisciplinary field that studies the Earth as an integrated system of interacting components—including the atmosphere, hydrosphere, biosphere, geosphere, and human activities—to understand global processes and changes.
-
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.
Clouds and the Earth’s Radiant Energy System
Clouds and the Earth’s Radiant Energy System (CERES) is a satellite instrument designed to measure the Earth’s radiation budget and study how clouds and aerosols affect the planet’s climate and energy balance.
-
E.
Center for Earth System Research and Sustainability
The Center for Earth System Research and Sustainability is a research institute at the University of Hamburg focused on interdisciplinary studies of the Earth’s climate system, environmental change, and sustainable development.
- 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_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.