Triple
T439773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atlantic Oceanographic and Meteorological Laboratory |
E10088
|
entity |
| Predicate | hasDivision |
P35
|
FINISHED |
| Object |
Ocean Chemistry and Ecosystems Division
The Ocean Chemistry and Ecosystems Division is a research unit focused on studying marine biogeochemistry, ecosystem dynamics, and the impacts of environmental change on ocean health.
|
E10593
|
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: Ocean Chemistry and Ecosystems Division | Statement: [Atlantic Oceanographic and Meteorological Laboratory, hasDivision, Ocean Chemistry and Ecosystems Division]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ocean Chemistry and Ecosystems Division Context triple: [Atlantic Oceanographic and Meteorological Laboratory, hasDivision, Ocean Chemistry and Ecosystems Division]
-
A.
Pacific Marine Environmental Laboratory
The Pacific Marine Environmental Laboratory is a NOAA research facility that studies oceanic and atmospheric processes, including climate, ecosystems, and marine hazards, to support environmental understanding and stewardship.
-
B.
Center for Operational Oceanographic Products and Services
The Center for Operational Oceanographic Products and Services is a division of NOAA that provides tide, water level, current, and other coastal oceanographic data and services to support navigation, coastal management, and marine operations.
-
C.
Coastal Resources Division
The Coastal Resources Division is a branch of Georgia’s state government responsible for managing, conserving, and regulating the use of the state’s coastal and marine natural resources.
-
D.
Atlantic Oceanographic and Meteorological Laboratory
The Atlantic Oceanographic and Meteorological Laboratory is a U.S. federal research facility that conducts oceanic and atmospheric studies, particularly related to hurricanes, climate, and marine ecosystems in the Atlantic region.
-
E.
College of Earth, Ocean, and Atmospheric Sciences
The College of Earth, Ocean, and Atmospheric Sciences is a leading academic and research institution specializing in the study of the Earth system, including geology, oceanography, climate, and atmospheric sciences.
- 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: Ocean Chemistry and Ecosystems Division Triple: [Atlantic Oceanographic and Meteorological Laboratory, hasDivision, Ocean Chemistry and Ecosystems Division]
Generated description
The Ocean Chemistry and Ecosystems Division is a research unit focused on studying marine biogeochemistry, ecosystem dynamics, and the impacts of environmental change on ocean health.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ocean Chemistry and Ecosystems Division Target entity description: The Ocean Chemistry and Ecosystems Division is a research unit focused on studying marine biogeochemistry, ecosystem dynamics, and the impacts of environmental change on ocean health.
-
A.
Pacific Marine Environmental Laboratory
chosen
The Pacific Marine Environmental Laboratory is a NOAA research facility that studies oceanic and atmospheric processes, including climate, ecosystems, and marine hazards, to support environmental understanding and stewardship.
-
B.
Center for Operational Oceanographic Products and Services
The Center for Operational Oceanographic Products and Services is a division of NOAA that provides tide, water level, current, and other coastal oceanographic data and services to support navigation, coastal management, and marine operations.
-
C.
Coastal Resources Division
The Coastal Resources Division is a branch of Georgia’s state government responsible for managing, conserving, and regulating the use of the state’s coastal and marine natural resources.
-
D.
Atlantic Oceanographic and Meteorological Laboratory
The Atlantic Oceanographic and Meteorological Laboratory is a U.S. federal research facility that conducts oceanic and atmospheric studies, particularly related to hurricanes, climate, and marine ecosystems in the Atlantic region.
-
E.
College of Earth, Ocean, and Atmospheric Sciences
The College of Earth, Ocean, and Atmospheric Sciences is a leading academic and research institution specializing in the study of the Earth system, including geology, oceanography, climate, and atmospheric sciences.
- 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_69a2e8465ef481909655c681b01e2986 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2ef2977888190a0590b2c1bd2f5da |
completed | Feb. 28, 2026, 1:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a43e71ec4c8190ac1b80c01e0e83ad |
completed | March 1, 2026, 1:26 p.m. |
| NEDg | Description generation | batch_69a43f2a7c848190b54aa6eb8e67ddaf |
completed | March 1, 2026, 1:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a43fcb0da4819088f4d491592e2a5a |
completed | March 1, 2026, 1:31 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.