Triple
T4733517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Alberta Institute of Technology |
E105067
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
NAIT
NAIT is a leading Canadian polytechnic and applied research institute in Edmonton, Alberta, offering career-focused technical, trades, and business programs.
|
E465391
|
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: NAIT | Statement: [Northern Alberta Institute of Technology, abbreviation, NAIT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NAIT Context triple: [Northern Alberta Institute of Technology, abbreviation, NAIT]
-
A.
NATA
NATA is a nationwide U.S. Environmental Protection Agency assessment program that evaluates health risks from exposure to hazardous air pollutants.
-
B.
NWTC
NWTC is a public technical college in northeast Wisconsin offering career-focused education and training programs.
-
C.
NSTU
NSTU is the ICAO airport code for Pago Pago International Airport in American Samoa.
-
D.
NHA
NHA is the commonly used abbreviation for the National Hockey Association, a historic professional ice hockey league that operated in Canada in the early 20th century.
-
E.
NOVA University
NOVA University is a public research university in Lisbon, Portugal, known for its innovative teaching, international outlook, and strong programs across fields such as business, science, technology, and social sciences.
- 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: NAIT Triple: [Northern Alberta Institute of Technology, abbreviation, NAIT]
Generated description
NAIT is a leading Canadian polytechnic and applied research institute in Edmonton, Alberta, offering career-focused technical, trades, and business programs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NAIT Target entity description: NAIT is a leading Canadian polytechnic and applied research institute in Edmonton, Alberta, offering career-focused technical, trades, and business programs.
-
A.
NATA
NATA is a nationwide U.S. Environmental Protection Agency assessment program that evaluates health risks from exposure to hazardous air pollutants.
-
B.
NWTC
NWTC is a public technical college in northeast Wisconsin offering career-focused education and training programs.
-
C.
NSTU
NSTU is the ICAO airport code for Pago Pago International Airport in American Samoa.
-
D.
NHA
NHA is the commonly used abbreviation for the National Hockey Association, a historic professional ice hockey league that operated in Canada in the early 20th century.
-
E.
NOVA University
NOVA University is a public research university in Lisbon, Portugal, known for its innovative teaching, international outlook, and strong programs across fields such as business, science, technology, and social sciences.
- 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_69bd43ee52048190b81a4f066534ffb3 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6466354481908595f5bb56025cdb |
completed | March 20, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be10acf7488190946b31f95114d459 |
completed | March 21, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69be1502bbb4819094c27231dc6a9762 |
completed | March 21, 2026, 3:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be15ba6dac8190b37130ba0a9209c3 |
completed | March 21, 2026, 3:51 a.m. |
Created at: March 20, 2026, 1:19 p.m.