Triple
T13682397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deuteronomy 8:10 |
E328033
|
entity |
| Predicate | englishText |
P31361
|
FINISHED |
| Object | When you have eaten and are satisfied, you shall bless the LORD your God for the good land which He has given you. |
—
|
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: When you have eaten and are satisfied, you shall bless the LORD your God for the good land which He has given you. | Statement: [Deuteronomy 8:10, englishText, When you have eaten and are satisfied, you shall bless the LORD your God for the good land which He has given you.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: englishText Context triple: [Deuteronomy 8:10, englishText, When you have eaten and are satisfied, you shall bless the LORD your God for the good land which He has given you.]
-
A.
EnglishTranslation
chosen
Indicates that one expression is the English-language translation equivalent of another expression.
-
B.
EnglishObjective
Indicates that an entity has English language proficiency or achievement as a goal or target to be attained.
-
C.
englishFlagship
Indicates that an entity participates in or is associated with an English flagship program (typically an intensive, advanced English language or studies track).
-
D.
EnglishVersionFeature
Indicates that the related item is a feature or aspect specifically associated with the English-language version of something.
-
E.
textTranslation
Indicates a relationship where one text is rendered into another language or form while preserving its original meaning.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc66e75188190a9e82fdc5eb26513 |
completed | April 12, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69dbbe8d8d0881908d6e89954f44eed4 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:53 p.m.