Triple
T13682348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Birkat Hamazon |
E328032
|
entity |
| Predicate | secondBlessingTheme |
P111146
|
FINISHED |
| Object | Thanksgiving for the Land of Israel |
—
|
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: Thanksgiving for the Land of Israel | Statement: [Birkat Hamazon, secondBlessingTheme, Thanksgiving for the Land of Israel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondBlessingTheme Context triple: [Birkat Hamazon, secondBlessingTheme, Thanksgiving for the Land of Israel]
-
A.
secondSecretTheme
Indicates that an entity has or is associated with a secondary, hidden or underlying thematic element beyond its primary theme.
-
B.
firstBlessing
Indicates that an entity is the initial recipient or instance of a blessing in relation to another entity or context.
-
C.
blessedBy
Indicates that one entity has conferred a blessing, favor, or sacred endorsement upon another entity.
-
D.
fourthBlessing
Indicates that an entity receives or is associated with the fourth in a sequence of blessings.
-
E.
promiseOfBlessingTo
Indicates that one entity has declared or assured a future blessing or favorable outcome to another entity.
- 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_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. |
| PDg | Predicate description generation | batch_69dbc59ca1a88190a6abd3bd00554c93 |
completed | April 12, 2026, 4:17 p.m. |
Created at: April 9, 2026, 9:53 p.m.