Triple
T4788761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Alberta Institute of Technology |
E106549
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
SAIT
SAIT is a Canadian polytechnic institute in Calgary, Alberta, offering career-focused technical, trades, and applied degree programs.
|
E470224
|
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: SAIT | Statement: [Southern Alberta Institute of Technology, abbreviation, SAIT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SAIT Context triple: [Southern Alberta Institute of Technology, abbreviation, SAIT]
-
A.
SAU
SAU is the three-letter ISO 3166-1 alpha-3 country code assigned to Saudi Arabia.
-
B.
SAU
SAU is an international university established by the South Asian Association for Regional Cooperation (SAARC) in New Delhi, India, focusing on postgraduate and doctoral education and research for students from South Asian countries.
-
C.
SA1
SA1 is a 3GPP working group responsible for defining overall service requirements and use cases for mobile telecommunications systems.
-
D.
SACT
SACT is the Supreme Allied Commander Transformation, the NATO strategic commander responsible for leading the alliance’s military transformation and capability development.
-
E.
SAA
SAA is the ICAO airline designator for South African Airways, the flag carrier airline of South Africa.
- 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: SAIT Triple: [Southern Alberta Institute of Technology, abbreviation, SAIT]
Generated description
SAIT is a Canadian polytechnic institute in Calgary, Alberta, offering career-focused technical, trades, and applied degree programs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SAIT Target entity description: SAIT is a Canadian polytechnic institute in Calgary, Alberta, offering career-focused technical, trades, and applied degree programs.
-
A.
SAU
SAU is an international university established by the South Asian Association for Regional Cooperation (SAARC) in New Delhi, India, focusing on postgraduate and doctoral education and research for students from South Asian countries.
-
B.
SAU
SAU is the three-letter ISO 3166-1 alpha-3 country code assigned to Saudi Arabia.
-
C.
SA1
SA1 is a 3GPP working group responsible for defining overall service requirements and use cases for mobile telecommunications systems.
-
D.
SACT
SACT is the Supreme Allied Commander Transformation, the NATO strategic commander responsible for leading the alliance’s military transformation and capability development.
-
E.
SAA
SAA is the ICAO airline designator for South African Airways, the flag carrier airline of South Africa.
- 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_69bd43f4a9588190bf73e20bc27c03cc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd65db847081908f5456724a2bdc65 |
completed | March 20, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be43e504488190b55cd745f82e9897 |
completed | March 21, 2026, 7:08 a.m. |
| NEDg | Description generation | batch_69be45cc228c8190942280ef3852caf7 |
completed | March 21, 2026, 7:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be467ffd50819090c92df520c91642 |
completed | March 21, 2026, 7:19 a.m. |
Created at: March 20, 2026, 1:22 p.m.