Triple
T19784514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahanaim |
E475224
|
entity |
| Predicate | firstBiblicalContext |
P6572
|
FINISHED |
| Object | Jacob’s journey back to Canaan |
—
|
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: Jacob’s journey back to Canaan | Statement: [Mahanaim, firstBiblicalContext, Jacob’s journey back to Canaan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstBiblicalContext Context triple: [Mahanaim, firstBiblicalContext, Jacob’s journey back to Canaan]
-
A.
scriptureContext
chosen
Indicates that one entity provides the textual, historical, or thematic scriptural background or setting necessary to interpret or understand another entity.
-
B.
hasPrimaryBiblicalText
Indicates that one entity is associated with another entity that serves as its main or authoritative biblical text.
-
C.
hasBiblicalConnection
Indicates a relationship in which one entity is connected to another through references, themes, origins, or influences derived from the Bible.
-
D.
numberInBiblicalText
Indicates that a specific number appears within, or is referenced by, a given passage or unit of biblical text.
-
E.
scripturalLanguageContext
Indicates the linguistic or textual context in which a scriptural passage, term, or reference is expressed or interpreted.
- 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6538715b8819080c6930e7d16ab58 |
completed | April 20, 2026, 4:25 p.m. |
| PD | Predicate disambiguation | batch_69e53053ed2881908400becdfada7fd3 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:49 p.m.