Triple
T26237417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catholic Church in Lithuania |
E656208
|
entity |
| Predicate | currentLanguageOfLiturgy |
P3115
|
FINISHED |
| Object | Lithuanian |
—
|
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: Lithuanian | Statement: [Catholic Church in Lithuania, currentLanguageOfLiturgy, Lithuanian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentLanguageOfLiturgy Context triple: [Catholic Church in Lithuania, currentLanguageOfLiturgy, Lithuanian]
-
A.
liturgicalLanguageVersion
Indicates that one entity is a specific version or form of another entity expressed in a particular liturgical language.
-
B.
liturgicalLanguageUsage
Indicates the relationship in which a particular language is used as the medium for conducting religious or liturgical rites, prayers, or ceremonies.
-
C.
languageOfWorship
chosen
Indicates the language in which religious worship, rituals, or liturgical practices are conducted.
-
D.
usesPrimaryLiturgicalLanguageHistorically
Indicates that an entity has historically used a particular primary liturgical language in its religious rites or worship practices.
-
E.
currentLanguageSituation
Indicates the language currently being used or in effect in a given context or situation.
- 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_69ee5b4b8b408190993da38c0067cc8d |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f6cee45590819086e489bfccbe4ac3 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1188708190b8f0f56e595e6057 |
completed | May 3, 2026, 4:16 a.m. |
Created at: April 26, 2026, 9:02 p.m.