Triple
T3188375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eritrean Catholic Church |
E66756
|
entity |
| Predicate | usesScriptureVersion |
P1187
|
FINISHED |
| Object | Ge'ez biblical and liturgical texts |
—
|
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: Ge'ez biblical and liturgical texts | Statement: [Eritrean Catholic Church, usesScriptureVersion, Ge'ez biblical and liturgical texts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesScriptureVersion Context triple: [Eritrean Catholic Church, usesScriptureVersion, Ge'ez biblical and liturgical texts]
-
A.
usedScriptureTranslation
Indicates that one entity employed or relied on a particular translation of scripture in its actions, works, or communications.
-
B.
hasViewOnScripture
Indicates that an entity holds a particular interpretive stance or doctrinal position regarding scripture.
-
C.
recognizesScripturesFrom
Indicates that one entity acknowledges or accepts certain scriptures as authoritative or valid based on another entity as their source or origin.
-
D.
scriptureTypeTranslated
Indicates that a scripture or sacred text has been translated into a particular type, version, or format.
-
E.
hasLanguageOfScripture
chosen
Indicates that an entity’s scriptural or sacred texts are written or expressed in a specified language.
- 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_69ad8587c1bc8190a2595f2c22ee1001 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada6e491508190bc881feaee3889bc |
completed | March 8, 2026, 4:42 p.m. |
| PD | Predicate disambiguation | batch_69ad9e04290481909092ddfbe6fdaabc |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:06 p.m.