Triple
T35048175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Syktyvkar State University |
E1011258
|
entity |
| Predicate | hasResearchFocusCountry |
P144480
|
FINISHED |
| Object | Russia |
E10011
|
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: Russia | Statement: [Syktyvkar State University, hasResearchFocusCountry, Russia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasResearchFocusCountry Context triple: [Syktyvkar State University, hasResearchFocusCountry, Russia]
-
A.
countryOfResearch
Indicates the country where the research activity was primarily conducted or based.
-
B.
countryOfResearchInfrastructure
Indicates that a research infrastructure is located in, operated by, or formally associated with a particular country.
-
C.
hasResearchArea
Indicates that an entity (such as a person, project, or organization) is associated with or focused on a particular field or area of research.
-
D.
countryOfMainInvestigation
chosen
Indicates the country in which the primary or main part of an investigation is conducted or focused.
-
E.
researchFocusSince
Indicates the point in time since which an entity has maintained a particular research focus or area of study.
- F. None of above.
Provenance (4 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_69f76dcfdda48190b1ebae5da8b54f12 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a380f8f0a00819086e56fab0884a657 |
completed | June 21, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_6a037a016960819093ed4990fb4d9d36 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:01 p.m.