Triple
T55929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ithaca, New York, United States |
E1105
|
entity |
| Predicate | hasInstitution |
P186
|
FINISHED |
| Object |
Cornell University College of Agriculture and Life Sciences
Cornell University College of Agriculture and Life Sciences is a leading college of Cornell University known for its programs and research in agriculture, life sciences, environmental science, and applied social sciences.
|
E18437
|
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: Cornell University College of Agriculture and Life Sciences | Statement: [Ithaca, New York, United States, hasInstitution, Cornell University College of Agriculture and Life Sciences]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cornell University College of Agriculture and Life Sciences Context triple: [Ithaca, New York, United States, hasInstitution, Cornell University College of Agriculture and Life Sciences]
-
A.
International Institute of Agriculture
The International Institute of Agriculture was an early 20th-century intergovernmental organization based in Rome that coordinated international agricultural statistics and information, serving as a forerunner to the modern Food and Agriculture Organization.
-
B.
Cornell Botanic Gardens
Cornell Botanic Gardens is a renowned public garden and arboretum affiliated with Cornell University, featuring diverse plant collections, natural areas, and educational programs in Ithaca, New York.
-
C.
College of Agricultural Sciences
The College of Agricultural Sciences is a major academic and research unit at Oregon State University focused on agriculture, food systems, natural resources, and environmental sustainability.
-
D.
University of Wisconsin–Madison
The University of Wisconsin–Madison is a major public research university in Madison, Wisconsin, renowned for its strong academic programs, extensive research output, and flagship status within the University of Wisconsin System.
-
E.
Rensselaer Polytechnic Institute
Rensselaer Polytechnic Institute is a private research university in Troy, New York, renowned for its strong engineering, science, and technology programs.
- 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: Cornell University College of Agriculture and Life Sciences Triple: [Ithaca, New York, United States, hasInstitution, Cornell University College of Agriculture and Life Sciences]
Generated description
Cornell University College of Agriculture and Life Sciences is a leading college of Cornell University known for its programs and research in agriculture, life sciences, environmental science, and applied social sciences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cornell University College of Agriculture and Life Sciences Target entity description: Cornell University College of Agriculture and Life Sciences is a leading college of Cornell University known for its programs and research in agriculture, life sciences, environmental science, and applied social sciences.
-
A.
International Institute of Agriculture
The International Institute of Agriculture was an early 20th-century intergovernmental organization based in Rome that coordinated international agricultural statistics and information, serving as a forerunner to the modern Food and Agriculture Organization.
-
B.
Cornell Botanic Gardens
Cornell Botanic Gardens is a renowned public garden and arboretum affiliated with Cornell University, featuring diverse plant collections, natural areas, and educational programs in Ithaca, New York.
-
C.
College of Agricultural Sciences
The College of Agricultural Sciences is a major academic and research unit at Oregon State University focused on agriculture, food systems, natural resources, and environmental sustainability.
-
D.
University of Wisconsin–Madison
The University of Wisconsin–Madison is a major public research university in Madison, Wisconsin, renowned for its strong academic programs, extensive research output, and flagship status within the University of Wisconsin System.
-
E.
Rensselaer Polytechnic Institute
Rensselaer Polytechnic Institute is a private research university in Troy, New York, renowned for its strong engineering, science, and technology programs.
- 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_69a248adc5b48190aa8db9fb092fb28a |
completed | Feb. 28, 2026, 1:45 a.m. |
| NER | Named-entity recognition | batch_69a24b07f4a881909e32115e84da02a3 |
completed | Feb. 28, 2026, 1:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2c936a0b48190950c2684055ff591 |
completed | Feb. 28, 2026, 10:53 a.m. |
| NEDg | Description generation | batch_69a2c9b112288190b081ef6ca567e594 |
completed | Feb. 28, 2026, 10:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2ca31ebd4819082c59d25a46f872d |
completed | Feb. 28, 2026, 10:57 a.m. |
Created at: Feb. 28, 2026, 1:50 a.m.