Triple
T13166128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Novosibirsk State University |
E312854
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
NSU
NSU is a leading Russian research university located in Novosibirsk, known for its strong programs in science, technology, and mathematics.
|
E1023677
|
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: NSU | Statement: [Novosibirsk State University, shortName, NSU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NSU Context triple: [Novosibirsk State University, shortName, NSU]
-
A.
NSU
NSU is a private research university in Fort Lauderdale, Florida, known for its programs in health professions, law, business, and education.
-
B.
NSH
NSH is the standard NHL abbreviation for the Nashville Predators hockey team.
-
C.
NSTU
NSTU is the ICAO airport code for Pago Pago International Airport in American Samoa.
-
D.
NSUI
NSUI is the student wing of the Indian National Congress, active in universities and colleges across India and involved in student politics and representation.
-
E.
VSNU
VSNU is the Association of Universities in the Netherlands, representing and coordinating the interests of Dutch research universities.
- 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: NSU Triple: [Novosibirsk State University, shortName, NSU]
Generated description
NSU is a leading Russian research university located in Novosibirsk, known for its strong programs in science, technology, and mathematics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NSU Target entity description: NSU is a leading Russian research university located in Novosibirsk, known for its strong programs in science, technology, and mathematics.
-
A.
NSU
NSU is a private research university in Fort Lauderdale, Florida, known for its programs in health professions, law, business, and education.
-
B.
NSH
NSH is the standard NHL abbreviation for the Nashville Predators hockey team.
-
C.
NSTU
NSTU is the ICAO airport code for Pago Pago International Airport in American Samoa.
-
D.
NSUI
NSUI is the student wing of the Indian National Congress, active in universities and colleges across India and involved in student politics and representation.
-
E.
VSNU
VSNU is the Association of Universities in the Netherlands, representing and coordinating the interests of Dutch research universities.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c2c317881908cc715c97d915f77 |
completed | April 10, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eaf6c9ec8190bc0097d62e57e52a |
completed | May 3, 2026, 6:28 a.m. |
| NEDg | Description generation | batch_69f6ee07aa988190ad8bb3bc3ecf7890 |
completed | May 3, 2026, 6:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6eef335b481908dbe6fb93c9d56f2 |
completed | May 3, 2026, 6:45 a.m. |
Created at: April 9, 2026, 9:13 p.m.