Triple
T27146880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | نتسيرت عيليت |
E681973
|
entity |
| Predicate | رمز_بريدي_في_إسرائيل |
P161905
|
FINISHED |
| Object | 16100 |
—
|
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: 16100 | Statement: [نتسيرت عيليت, رمز_بريدي_في_إسرائيل, 16100]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: رمز_بريدي_في_إسرائيل Context triple: [نتسيرت عيليت, رمز_بريدي_في_إسرائيل, 16100]
-
A.
ייחוס
Indicates an attribution or assignment relationship, where a property, role, or characteristic is ascribed from one entity to another.
-
B.
الضفة
Indicates a spatial relationship where something is located on or associated with a particular bank or side of a river, sea, or similar boundary.
-
C.
כולל
Indicates that something contains, includes, or encompasses something else as a part or subset.
-
D.
nearbyIsraeliSettlement
Indicates that one entity is located close in distance to an Israeli settlement.
-
E.
קיבל
Indicates that an entity received or was given something from 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_69eefacca3888190b67238d380e8f28b |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f624c6dff08190ba0573eba9d63449 |
completed | May 2, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69f61b40f02081909bd9c3ea73249163 |
completed | May 2, 2026, 3:41 p.m. |
| PDg | Predicate description generation | batch_69f61fa35ac48190890102c348ed81a0 |
completed | May 2, 2026, 4 p.m. |
Created at: April 27, 2026, 9:12 a.m.