Triple
T37617033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lusoga language |
E935950
|
entity |
| Predicate | hasReligiousTexts |
—
|
GENERATED |
| Object | Bible translations in Lusoga |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReligiousTexts Context triple: [Lusoga language, hasReligiousTexts, Bible translations in Lusoga]
-
A.
hasSacredText
chosen
Indicates that an entity possesses or is associated with a particular sacred or religious text.
-
B.
usedForReligiousTexts
Indicates that something is used in the creation, preservation, or practice of religious texts or scriptures.
-
C.
isAssociatedWithReligiousText
Indicates a relationship where an entity is connected or linked in some way to a religious text, such as being based on, derived from, or directly related to it.
-
D.
usedInReligiousTextsOf
Indicates that something (such as a concept, term, or symbol) appears within and is employed in the religious texts associated with a particular religion or tradition.
-
E.
hasLiturgicalTexts
Indicates that an entity possesses or is associated with specific liturgical texts used in religious worship or ceremonies.
- F. None of above.
Provenance (1 batch)
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_69f76ed16b748190ad6add183b1be688 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:18 p.m.