Triple
T28577315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lot and his family |
E723276
|
entity |
| Predicate | savedBecauseOf |
P164885
|
FINISHED |
| Object | Lot’s righteousness |
—
|
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: Lot’s righteousness | Statement: [Lot and his family, savedBecauseOf, Lot’s righteousness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: savedBecauseOf Context triple: [Lot and his family, savedBecauseOf, Lot’s righteousness]
-
A.
savedWhile
Indicates that one entity was saved or preserved during the time another event or action was occurring.
-
B.
savedWith
Indicates that one entity is preserved, stored, or kept together in association with another entity.
-
C.
save
Indicates preserving or storing something from loss, harm, or use, often for future benefit or protection.
-
D.
saveBy
Indicates that one entity preserves, rescues, or protects another entity from loss, harm, or danger.
-
E.
savedByMethod
Indicates that something is preserved, stored, or kept safe through the use of a particular method or procedure.
- 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_69f01d7e97708190ae9e77ee66a68abd |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651aad92c8190b874b3b5f9f64434 |
completed | May 2, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69f652a3a8208190a4fdd66f34138bd2 |
completed | May 2, 2026, 7:38 p.m. |
Created at: April 28, 2026, 4:13 a.m.