Triple
T2057160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Włodawa |
E45699
|
entity |
| Predicate | minorityLanguageTradition |
P6149
|
FINISHED |
| Object | Yiddish |
—
|
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: Yiddish | Statement: [Włodawa, minorityLanguageTradition, Yiddish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minorityLanguageTradition Context triple: [Włodawa, minorityLanguageTradition, Yiddish]
-
A.
heritageLanguage
chosen
Indicates that one entity is the ancestral or culturally inherited language associated with another entity.
-
B.
minorityLanguagePolicy
Indicates a policy or set of rules governing the recognition, protection, and use of languages spoken by minority groups within a larger political or social context.
-
C.
culturalTradition
Indicates a relationship where certain practices, beliefs, or customs are recognized as part of a shared cultural heritage passed down within a group or society.
-
D.
traditionalLanguageName
Indicates the name traditionally used in a particular language to refer to the subject entity.
-
E.
isCulturalLanguageOf
Indicates that a language serves as a primary medium of cultural expression, identity, and heritage for a particular group, community, or region.
- F. None of above.
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_69a8891a19508190a12ef1e192308dcb |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9abdb088190991a620e01dc226f |
completed | March 7, 2026, 5:37 a.m. |
| PD | Predicate disambiguation | batch_69abb7ad5a7c8190b92575d6053b3fb7 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:40 p.m.