Triple
T6223746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College of Agricultural and Environmental Sciences |
E139177
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
CAES
CAES is a college-level academic unit focused on education and research in agriculture, environmental sciences, and related fields.
|
E577795
|
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: CAES | Statement: [College of Agricultural and Environmental Sciences, hasAbbreviation, CAES]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CAES Context triple: [College of Agricultural and Environmental Sciences, hasAbbreviation, CAES]
-
A.
CESA
CESA is a California state law that protects plant and animal species at risk of extinction by regulating activities that may harm them or their habitats.
-
B.
CESAER
CESAER is a European association of leading universities of science and technology that collaborates to advance engineering education, research, and innovation.
-
C.
CESE
CESE is France’s Economic, Social and Environmental Council, a constitutional advisory body that represents civil society and provides expert opinions on public policy.
-
D.
CAE
CAE (Computer-Aided Engineering) is the use of computer software to simulate, analyze, and optimize engineering designs and processes.
-
E.
CCAS
CCAS is an international environmental agreement aimed at protecting and managing seal populations in the Antarctic region.
- 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: CAES Triple: [College of Agricultural and Environmental Sciences, hasAbbreviation, CAES]
Generated description
CAES is a college-level academic unit focused on education and research in agriculture, environmental sciences, and related fields.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CAES Target entity description: CAES is a college-level academic unit focused on education and research in agriculture, environmental sciences, and related fields.
-
A.
CESA
CESA is a California state law that protects plant and animal species at risk of extinction by regulating activities that may harm them or their habitats.
-
B.
CESAER
CESAER is a European association of leading universities of science and technology that collaborates to advance engineering education, research, and innovation.
-
C.
CESE
CESE is France’s Economic, Social and Environmental Council, a constitutional advisory body that represents civil society and provides expert opinions on public policy.
-
D.
CAE
CAE (Computer-Aided Engineering) is the use of computer software to simulate, analyze, and optimize engineering designs and processes.
-
E.
CCAS
CCAS is an international environmental agreement aimed at protecting and managing seal populations in the Antarctic region.
- 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_69c008afd3148190b71e9eaa60420dd1 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062c06c7881909999ba44aa4a23f9 |
completed | March 22, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c20dcc5e788190a510cac6bbad4830 |
completed | March 24, 2026, 4:06 a.m. |
| NEDg | Description generation | batch_69c21498cfc0819097d1fa9cb10f7a92 |
completed | March 24, 2026, 4:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c215689f288190a54fb3fc7984455a |
completed | March 24, 2026, 4:39 a.m. |
Created at: March 22, 2026, 4:22 p.m.