Triple
T25409115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boyko region |
E636639
|
entity |
| Predicate | cultureRelatedTo |
P162881
|
FINISHED |
| Object | Lemkos |
—
|
NE NERFINISHED |
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: Lemkos | Statement: [Boyko region, cultureRelatedTo, Lemkos]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cultureRelatedTo Context triple: [Boyko region, cultureRelatedTo, Lemkos]
-
A.
culturalCategory
Indicates that one entity classifies or groups another entity according to a particular culture, tradition, or culturally defined type.
-
B.
culturalType
Indicates the classification of something according to its cultural category, style, or tradition.
-
C.
cultureMedium
Indicates the substance or environment used to grow, maintain, or study a biological specimen or culture.
-
D.
inPopularCulture
Indicates that an entity is referenced, depicted, or otherwise present within works or discussions of popular culture.
-
E.
culturalElements
Indicates a relationship where certain elements (such as practices, symbols, or artifacts) belong to, express, or characterize a particular culture or cultural context.
- 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_69e75db361d881908d8701c856da6413 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f62e83045c8190a424a2e401a88e9e |
completed | May 2, 2026, 5:04 p.m. |
| PD | Predicate disambiguation | batch_69f62c1379f08190836c3e02b0c892df |
completed | May 2, 2026, 4:53 p.m. |
| PDg | Predicate description generation | batch_69f62d886828819080ec2f742b9449e3 |
completed | May 2, 2026, 4:59 p.m. |
Created at: April 21, 2026, 1:52 p.m.