Triple
T17760036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suwałki |
E443345
|
entity |
| Predicate | hasEducationalInstitution |
P113
|
FINISHED |
| Object | State Vocational University in Suwałki |
—
|
NE NERFINISHED |
How this triple was built (3 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: State Vocational University in Suwałki | Statement: [Suwałki, hasEducationalInstitution, State Vocational University in Suwałki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: State Vocational University in Suwałki Context triple: [Suwałki, hasEducationalInstitution, State Vocational University in Suwałki]
-
A.
State University of Applied Sciences in Piła
The State University of Applied Sciences in Piła is a Polish public higher education institution offering practice-oriented undergraduate and engineering programs in various technical, economic, and social fields.
-
B.
State University of Applied Sciences in Nowy Sącz
The State University of Applied Sciences in Nowy Sącz is a Polish public higher education institution offering professionally oriented undergraduate and graduate programs tailored to regional labor market needs.
-
C.
Olsztyn University of Applied Sciences
Olsztyn University of Applied Sciences is a Polish higher education institution offering practical, professionally oriented degree programs in the city of Olsztyn.
-
D.
University of Opole
The University of Opole is a public higher education institution in Opole, Poland, offering a wide range of academic programs and conducting research across multiple disciplines.
-
E.
Opole University of Technology
Opole University of Technology is a Polish public technical university in the city of Opole, specializing in engineering, technology, and applied sciences.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: State Vocational University in Suwałki Target entity description: State Vocational University in Suwałki is a Polish public higher education institution offering professionally oriented undergraduate programs tailored to regional labor market needs.
-
A.
State University of Applied Sciences in Piła
The State University of Applied Sciences in Piła is a Polish public higher education institution offering practice-oriented undergraduate and engineering programs in various technical, economic, and social fields.
-
B.
State University of Applied Sciences in Nowy Sącz
The State University of Applied Sciences in Nowy Sącz is a Polish public higher education institution offering professionally oriented undergraduate and graduate programs tailored to regional labor market needs.
-
C.
Olsztyn University of Applied Sciences
Olsztyn University of Applied Sciences is a Polish higher education institution offering practical, professionally oriented degree programs in the city of Olsztyn.
-
D.
University of Opole
The University of Opole is a public higher education institution in Opole, Poland, offering a wide range of academic programs and conducting research across multiple disciplines.
-
E.
Opole University of Technology
Opole University of Technology is a Polish public technical university in the city of Opole, specializing in engineering, technology, and applied sciences.
- F. None of above. chosen
Provenance (2 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48421c3048190b26864b72aad0d70 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 10:10 a.m.