Triple
T34572206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Negaim |
E887653
|
entity |
| Predicate | scripturalBookSource |
P191917
|
FINISHED |
| Object | Book of Leviticus |
—
|
NE NERFINISHED |
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: Book of Leviticus | Statement: [Negaim, scripturalBookSource, Book of Leviticus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scripturalBookSource Context triple: [Negaim, scripturalBookSource, Book of Leviticus]
-
A.
scripturalSourceType
Indicates the type or category of source from which a scriptural text or reference is derived.
-
B.
scriptureType
Indicates the classification or category of a scripture in relation to its type or genre.
-
C.
scripturalCorpus
Indicates that one entity is a body of scriptural or sacred texts associated with, or serving as the canonical writings for, another entity.
-
D.
scriptureFor
Indicates that one entity serves as a scriptural or authoritative religious text for another entity (such as a person, group, or belief system).
-
E.
scripturalBookNamedAfter
Indicates that a scriptural book bears the name of a particular person, place, or entity.
- F. None of above. chosen
Provenance (4 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_69f349d1a5fc81908557a46875b2f157 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fcef654d588190b29ecc76678d1aa0 |
completed | May 7, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69fcecdb97f48190b382b7d13be92dc0 |
completed | May 7, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69fcef636dfc819085cf91323f2e4edd |
completed | May 7, 2026, 8 p.m. |
Created at: May 1, 2026, 2:03 a.m.