Triple
T27146837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | نوف هچليل |
E681972
|
entity |
| Predicate | نوع_الكيان |
P156869
|
FINISHED |
| Object | مدينة يهودية-عربية مختلطة نسبياً |
—
|
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: مدينة يهودية-عربية مختلطة نسبياً | Statement: [نوف هچليل, نوع_الكيان, مدينة يهودية-عربية مختلطة نسبياً]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: نوع_الكيان Context triple: [نوف هچليل, نوع_الكيان, مدينة يهودية-عربية مختلطة نسبياً]
-
A.
natureOfEntity
chosen
Indicates the fundamental type, character, or defining qualities that constitute what an entity essentially is.
-
B.
typeOfBusinessOrganization
Indicates the specific kind or category of business organization that an entity belongs to (e.g., corporation, partnership, sole proprietorship).
-
C.
notableOrganizationType
Indicates that an organization is recognized as being of a particular notable or significant type or category.
-
D.
organizationType
Indicates the specific category or classification of an organization in terms of its nature, structure, or primary function.
-
E.
typeOfGovernmentInstitution
Indicates that one entity is a government institution of the type or category specified by the other entity.
- 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_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. |
Created at: April 27, 2026, 9:12 a.m.