Triple
T10166057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ביכורים |
E235206
|
entity |
| Predicate | מובאים_על_ידי |
P92167
|
FINISHED |
| Object | בעלי שדות וכרמים מישראל |
—
|
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: בעלי שדות וכרמים מישראל | Statement: [ביכורים, מובאים_על_ידי, בעלי שדות וכרמים מישראל]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: מובאים_על_ידי Context triple: [ביכורים, מובאים_על_ידי, בעלי שדות וכרמים מישראל]
-
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.
mountOf
Indicates that one entity serves as the mount or riding animal/creature used by another entity.
-
D.
باب
Indicates a relationship where one entity serves as a door, gate, or entry point to another entity, allowing or controlling access between them.
-
E.
movedBy
Indicates that an entity changes position or location as a result of another entity’s action or influence.
- 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.