Triple
T36710747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leviticus 27:33 |
E906787
|
entity |
| Predicate | scripturalCitationStyle |
P67049
|
FINISHED |
| Object | Lev 27:33 |
—
|
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: Lev 27:33 | Statement: [Leviticus 27:33, scripturalCitationStyle, Lev 27:33]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scripturalCitationStyle Context triple: [Leviticus 27:33, scripturalCitationStyle, Lev 27:33]
-
A.
scriptureCitationFormat
chosen
Indicates the specific formatting style or convention used when citing or referencing a passage of scripture.
-
B.
scriptureType
Indicates the classification or category of a scripture in relation to its type or genre.
-
C.
usesScriptureType
Indicates that one entity employs or is based on a particular type or classification of scripture.
-
D.
scripturalSourceType
Indicates the type or category of source from which a scriptural text or reference is derived.
-
E.
scriptureTraditionallyShown
Indicates that something is traditionally depicted or represented in religious scriptures in association with something else.
- 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_69f76e73ad108190a5241585f2303e9a |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd3a69f1e08190a11aed015bff0858 |
completed | May 8, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69fd39124180819080ca7911d3515d6d |
completed | May 8, 2026, 1:14 a.m. |
Created at: May 3, 2026, 4:12 p.m.