Triple
T20842252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quality Assurance Agency for Higher Education |
E513129
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
QAA
QAA is the United Kingdom’s independent body responsible for monitoring and advising on standards and quality in higher education.
|
E1454173
|
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: QAA | Statement: [Quality Assurance Agency for Higher Education, shortName, QAA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: QAA Context triple: [Quality Assurance Agency for Higher Education, shortName, QAA]
-
A.
QAA
QAA is the vehicle registration code assigned to motor vehicles registered in Quetta, the capital city of Pakistan’s Balochistan province.
-
B.
QAA Line
QAA Line is a well-known four-wheel-drive track that crosses the remote Simpson Desert in central Australia, popular with off-road and outback adventure travelers.
-
C.
QCAA
QCAA is the national regulatory body responsible for overseeing civil aviation safety, security, and air navigation services in Qatar.
-
D.
QAS
QAS is the state-wide emergency medical and ambulance service provider for Queensland, Australia.
-
E.
EQA
EQA is Mercedes-Benz’s compact all-electric SUV designed as part of the brand’s EQ lineup of battery-powered vehicles.
- 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: QAA Triple: [Quality Assurance Agency for Higher Education, shortName, QAA]
Generated description
QAA is the United Kingdom’s independent body responsible for monitoring and advising on standards and quality in higher education.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: QAA Target entity description: QAA is the United Kingdom’s independent body responsible for monitoring and advising on standards and quality in higher education.
-
A.
QAA
QAA is the vehicle registration code assigned to motor vehicles registered in Quetta, the capital city of Pakistan’s Balochistan province.
-
B.
QAA Line
QAA Line is a well-known four-wheel-drive track that crosses the remote Simpson Desert in central Australia, popular with off-road and outback adventure travelers.
-
C.
QCAA
QCAA is the national regulatory body responsible for overseeing civil aviation safety, security, and air navigation services in Qatar.
-
D.
QAS
QAS is the state-wide emergency medical and ambulance service provider for Queensland, Australia.
-
E.
EQA
EQA is Mercedes-Benz’s compact all-electric SUV designed as part of the brand’s EQ lineup of battery-powered vehicles.
- 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_69e0b4f4898081908209e58edb8f9c45 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c34be7a081909c9e98e7f7af7fde |
completed | April 21, 2026, 12:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a090aff425481908a43921b18319068 |
completed | May 17, 2026, 12:25 a.m. |
| NEDg | Description generation | batch_6a090c0eec0081908fe0f28e69d6d5d7 |
completed | May 17, 2026, 12:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a090cc818b4819089ed588d3e460aa2 |
completed | May 17, 2026, 12:33 a.m. |
Created at: April 16, 2026, 12:43 p.m.