Triple
T35249820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ammonites |
E1018065
|
entity |
| Predicate | originAccordingToBible |
P106306
|
FINISHED |
| Object | descendants of Ben-Ammi |
—
|
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: descendants of Ben-Ammi | Statement: [Ammonites, originAccordingToBible, descendants of Ben-Ammi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originAccordingToBible Context triple: [Ammonites, originAccordingToBible, descendants of Ben-Ammi]
-
A.
scripturalBasis
Indicates that one entity serves as the religious or scriptural foundation, support, or justification for another entity (such as a belief, practice, or doctrine).
-
B.
scripturalSourceType
Indicates the type or category of source from which a scriptural text or reference is derived.
-
C.
originReligionContext
chosen
Indicates the religious background or setting from which something or someone originates or is derived.
-
D.
scripturalEvidence
Indicates that one entity serves as supporting scriptural or textual proof for the truth, validity, or relevance of another entity.
-
E.
scripturalReference
Indicates that one entity cites, alludes to, or is based on a specific passage or portion of a scriptural text found in another entity.
- 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_69f76de407d081909dfc3c419817ae93 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a016960819093ed4990fb4d9d36 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:02 p.m.