Triple
T3918920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goddard Institute for Space Studies |
E88910
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
GISTEMP global surface temperature record
The GISTEMP global surface temperature record is NASA’s long-running dataset that tracks and analyzes changes in Earth’s average surface temperature over time to monitor global warming and climate trends.
|
E399082
|
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: GISTEMP global surface temperature record | Statement: [Goddard Institute for Space Studies, notableWork, GISTEMP global surface temperature record]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GISTEMP global surface temperature record Context triple: [Goddard Institute for Space Studies, notableWork, GISTEMP global surface temperature record]
-
A.
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.
-
B.
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.
-
C.
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.
-
D.
GAW World Data Centres
GAW World Data Centres are specialized international facilities that collect, manage, and distribute atmospheric and environmental data to support the scientific and monitoring activities of the Global Atmosphere Watch program.
-
E.
Working Group I contribution to the Second Assessment Report
The Working Group I contribution to the Second Assessment Report is the section of the IPCC’s 1995 climate assessment that focuses on the physical science basis of climate change, including observations, theory, and projections of the climate system.
- 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: GISTEMP global surface temperature record Triple: [Goddard Institute for Space Studies, notableWork, GISTEMP global surface temperature record]
Generated description
The GISTEMP global surface temperature record is NASA’s long-running dataset that tracks and analyzes changes in Earth’s average surface temperature over time to monitor global warming and climate trends.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GISTEMP global surface temperature record Target entity description: The GISTEMP global surface temperature record is NASA’s long-running dataset that tracks and analyzes changes in Earth’s average surface temperature over time to monitor global warming and climate trends.
-
A.
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.
-
B.
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.
-
C.
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.
-
D.
GAW World Data Centres
GAW World Data Centres are specialized international facilities that collect, manage, and distribute atmospheric and environmental data to support the scientific and monitoring activities of the Global Atmosphere Watch program.
-
E.
Working Group I contribution to the Second Assessment Report
The Working Group I contribution to the Second Assessment Report is the section of the IPCC’s 1995 climate assessment that focuses on the physical science basis of climate change, including observations, theory, and projections of the climate system.
- 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_69aed955229881909e85e73ffab1d343 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeed59485c819095c58edd053e3401 |
completed | March 9, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5286830d08190bd6e583360136342 |
completed | March 14, 2026, 9:20 a.m. |
| NEDg | Description generation | batch_69b5293b41748190929665970712707a |
completed | March 14, 2026, 9:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b529e9080481908ff0ec30b295cfc3 |
completed | March 14, 2026, 9:27 a.m. |
Created at: March 9, 2026, 3:22 p.m.