Triple
T10166074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ביכורים |
E235206
|
entity |
| Predicate | אינם_נוהגים_ב |
P9443
|
FINISHED |
| Object | חוץ לארץ |
—
|
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: חוץ לארץ | Statement: [ביכורים, אינם_נוהגים_ב, חוץ לארץ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: אינם_נוהגים_ב Context triple: [ביכורים, אינם_נוהגים_ב, חוץ לארץ]
-
A.
doesNot
Indicates that a specified entity lacks, refrains from, or fails to perform a particular action or exhibit a particular property in relation to another entity or context.
-
B.
notObservedIn
chosen
Indicates that a particular entity, event, or property has not been detected, recorded, or seen within a specified context, dataset, or environment.
-
C.
notEnforcedBy
Indicates that a rule, policy, or obligation is not upheld, imposed, or carried out by the referenced enforcing entity.
-
D.
doesNotBan
Indicates that one entity allows or permits another entity or action by explicitly not prohibiting it.
-
E.
doesNotAbolish
Indicates that one entity, action, or law does not eliminate, revoke, or put an end to another.
- 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_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. |
Created at: March 30, 2026, 9:10 p.m.