Triple
T34666840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arba Minim |
E890279
|
entity |
| Predicate | blessingIncludes |
P179590
|
FINISHED |
| Object | al netilat lulav |
—
|
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: al netilat lulav | Statement: [Arba Minim, blessingIncludes, al netilat lulav]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: blessingIncludes Context triple: [Arba Minim, blessingIncludes, al netilat lulav]
-
A.
blessedWith
Indicates that one entity has received a positive gift, talent, quality, or advantage attributed to another source.
-
B.
blessedBy
Indicates that one entity has conferred a blessing, favor, or sacred endorsement upon another entity.
-
C.
associatedWithBlessing
Indicates a relationship in which an entity is connected to, linked with, or characterized by a blessing or act of blessing.
-
D.
promiseOfBlessingTo
Indicates that one entity has declared or assured a future blessing or favorable outcome to another entity.
-
E.
blessingTextBegins
chosen
Indicates that the text of a blessing starts with a specified substring or phrase.
- 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_69f349d9c59481908b36baa0be093aea |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f727bde8f88190ad746ca515134ca1 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72739c30c81908642eef3feb3afcf |
completed | May 3, 2026, 10:45 a.m. |
Created at: May 1, 2026, 2:05 a.m.