Triple
T10166039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ביכורים |
E235206
|
entity |
| Predicate | נקראים |
P92162
|
FINISHED |
| Object | ראשית ביכורי אדמתך |
—
|
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: ראשית ביכורי אדמתך | Statement: [ביכורים, נקראים, ראשית ביכורי אדמתך]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: נקראים Context triple: [ביכורים, נקראים, ראשית ביכורי אדמתך]
-
A.
מאפיין לוח
Indicates a relationship where something serves as a characteristic, property, or defining feature of a board.
-
B.
מאפיין עונתי
Indicates that something exhibits a seasonal characteristic, pattern, or variation over time.
-
C.
النسب
Indicates a genealogical or familial relationship linking one entity to another through lineage or descent.
-
D.
alsoReadBy
Indicates that an item (such as a document, article, or book) has been read by another user or entity in addition to the primary one under consideration.
-
E.
readsTo
Indicates that one entity reads or recites content aloud for the benefit of 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_69ca84ceafd0819085828600e11bed6b |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdec6cf27481909f38839452ac0e37 |
completed | April 2, 2026, 4:11 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba9956c8190a3e15d091e33149d |
completed | April 1, 2026, 4:45 p.m. |
| PDg | Predicate description generation | batch_69cd4fed19d481909d2c7ff1114664b6 |
completed | April 1, 2026, 5:03 p.m. |
Created at: March 30, 2026, 9:10 p.m.