Triple
T7483214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N. I. Lobachevsky State University of Nizhny Novgorod |
E176813
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | UNN |
E453989
|
NE FINISHED |
How this triple was built (2 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: UNN | Statement: [N. I. Lobachevsky State University of Nizhny Novgorod, alternativeName, UNN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UNN Context triple: [N. I. Lobachevsky State University of Nizhny Novgorod, alternativeName, UNN]
-
A.
UNN
chosen
UNN is the commonly used acronym for the University of Nigeria, Nsukka, one of Nigeria’s leading federal universities.
-
B.
NU
NU is the official two-letter Canada Post abbreviation for the northern Canadian territory of Nunavut.
-
C.
NU
NU is a leading Japanese national research university located in Nagoya, known for its strong programs in science, engineering, and the humanities.
-
D.
NU
NU is the two-letter ISO 3166 country code for Niue, a small island nation in the South Pacific Ocean.
-
E.
UNP
UNP is the stock ticker symbol for Union Pacific Corporation, one of the largest freight railroad companies in the United States.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c69f24ac508190bb98fe927c0bd065 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f53923e4819081bf79ed962a971c |
completed | March 27, 2026, 9:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83498965481909367681b63c5db63 |
completed | March 28, 2026, 8:05 p.m. |
Created at: March 27, 2026, 3:42 p.m.