Triple
T2098245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kyivan Rus |
E37030
|
entity |
| Predicate | culturalFoundationFor |
P35942
|
FINISHED |
| Object | Ukrainian culture |
—
|
LITERAL 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: Ukrainian culture | Statement: [Kyivan Rus, culturalFoundationFor, Ukrainian culture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: culturalFoundationFor Context triple: [Kyivan Rus, culturalFoundationFor, Ukrainian culture]
-
A.
hasCulturalSignificanceFor
Indicates that something holds particular cultural meaning, value, or importance for a specified group or community.
-
B.
isCulturalCenterFor
Indicates that one entity serves as a primary hub or focal point for the cultural activities, heritage, or identity of another entity.
-
C.
culturalOrganization
Indicates that an entity is an organization whose primary purpose involves cultural activities, preservation, or promotion.
-
D.
hasCulturalSignificance
Indicates that something holds notable meaning, value, or importance within a particular culture or cultural context.
-
E.
countryOfCulturalSignificance
Indicates that a country holds notable cultural importance or influence for a given entity, such as a person, group, object, or practice.
- F. None of above. chosen
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_69a8861828948190924aa30c08806b3a |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abba9de75c81909770409b5ae62c24 |
completed | March 7, 2026, 5:41 a.m. |
| PD | Predicate disambiguation | batch_69abb7b6274081909df36cd7a7c6a675 |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abba2e65b48190bb19cfc4b0f8c462 |
completed | March 7, 2026, 5:39 a.m. |
Created at: March 4, 2026, 7:43 p.m.