Triple
T23094088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zo language |
E575834
|
entity |
| Predicate | hasReligiousTextTranslation |
P46921
|
FINISHED |
| Object | Bible (partial or full translations) |
—
|
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: Bible (partial or full translations) | Statement: [Zo language, hasReligiousTextTranslation, Bible (partial or full translations)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReligiousTextTranslation Context triple: [Zo language, hasReligiousTextTranslation, Bible (partial or full translations)]
-
A.
hasBiblePortionsTranslated
chosen
Indicates that some or all portions of the Bible have been translated into the language or for the group in question.
-
B.
scriptureTranslatedBy
Indicates that a particular scripture has been translated by a specific agent (such as a person, group, or organization).
-
C.
hasTranslation
Indicates that one entity is a translation or translated version of another entity in a different language.
-
D.
usedScriptureTranslation
Indicates that one entity employed or relied on a particular translation of scripture in its actions, works, or communications.
-
E.
scriptureTypeTranslated
Indicates that a scripture or sacred text has been translated into a particular type, version, or format.
- 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_69e245c060b48190a9bd61a47a16db17 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18de2ed088190971ff08c58b15aad |
completed | April 29, 2026, 4:49 a.m. |
| PD | Predicate disambiguation | batch_69ef89e5ce748190b2c3ac3843484127 |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 3:57 p.m.