Triple
T12965062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cambridge Assessment English |
E321238
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
CAE
CAE is an internationally recognized English language exam that certifies high-level proficiency for academic and professional purposes.
|
E1013510
|
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: CAE | Statement: [Cambridge Assessment English, hasAbbreviation, CAE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CAE Context triple: [Cambridge Assessment English, hasAbbreviation, CAE]
-
A.
CAE
CAE is a Canadian multinational company specializing in simulation and training solutions, particularly for civil aviation, defense, and healthcare industries.
-
B.
CAE
CAE (Computer-Aided Engineering) is the use of computer software to simulate, analyze, and optimize engineering designs and processes.
-
C.
CAE
CAE is the IATA airport code for Columbia Metropolitan Airport, the primary commercial airport serving Columbia, South Carolina.
-
D.
CAEATFA
CAEATFA is a California state agency that provides financing support to promote alternative energy, energy efficiency, and advanced transportation technologies.
-
E.
CAI
CAI is the Faculty of Creative Arts and Industries at the University of Auckland, encompassing disciplines such as architecture, design, fine arts, music, dance, and related creative fields.
- 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: CAE Triple: [Cambridge Assessment English, hasAbbreviation, CAE]
Generated description
CAE is an internationally recognized English language exam that certifies high-level proficiency for academic and professional purposes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CAE Target entity description: CAE is an internationally recognized English language exam that certifies high-level proficiency for academic and professional purposes.
-
A.
CAE
CAE (Computer-Aided Engineering) is the use of computer software to simulate, analyze, and optimize engineering designs and processes.
-
B.
CAE
CAE is a Canadian multinational company specializing in simulation and training solutions, particularly for civil aviation, defense, and healthcare industries.
-
C.
CAE
CAE is the IATA airport code for Columbia Metropolitan Airport, the primary commercial airport serving Columbia, South Carolina.
-
D.
CAEATFA
CAEATFA is a California state agency that provides financing support to promote alternative energy, energy efficiency, and advanced transportation technologies.
-
E.
CAI
CAI is the three-letter IATA airport code for Cairo International Airport, the main international gateway to Cairo, Egypt.
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e30b7e88190ac07c91147b62d16 |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8e227948190a2d08db97b4e41aa |
completed | May 3, 2026, 2:54 a.m. |
| NEDg | Description generation | batch_69f6b9db8164819086a3a27692d681d5 |
completed | May 3, 2026, 2:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6bb03d8d88190930edd0f49fec8aa |
completed | May 3, 2026, 3:03 a.m. |
Created at: April 9, 2026, 8:27 p.m.