Triple
T13682350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Birkat Hamazon |
E328032
|
entity |
| Predicate | fourthBlessingTheme |
P45919
|
FINISHED |
| Object | General goodness and kindness |
—
|
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: General goodness and kindness | Statement: [Birkat Hamazon, fourthBlessingTheme, General goodness and kindness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fourthBlessingTheme Context triple: [Birkat Hamazon, fourthBlessingTheme, General goodness and kindness]
-
A.
fourthBlessing
chosen
Indicates that an entity receives or is associated with the fourth in a sequence of blessings.
-
B.
firstBlessing
Indicates that an entity is the initial recipient or instance of a blessing in relation to another entity or context.
-
C.
verse49_10Theme
Indicates that the subject is thematically related to or exemplifies the central theme expressed in verse 49:10.
-
D.
blessedBy
Indicates that one entity has conferred a blessing, favor, or sacred endorsement upon another entity.
-
E.
verse49_6Theme
Indicates that an element is identified as the central theme or main subject of verse 49:6.
- 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.