Triple
T22527060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | أفواه وأرانب |
E556933
|
entity |
| Predicate | يُبرز |
P626
|
FINISHED |
| Object | معاناة الأسر الفقيرة ذات العدد الكبير من الأبناء |
—
|
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: معاناة الأسر الفقيرة ذات العدد الكبير من الأبناء | Statement: [أفواه وأرانب, يُبرز, معاناة الأسر الفقيرة ذات العدد الكبير من الأبناء]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: يُبرز Context triple: [أفواه وأرانب, يُبرز, معاناة الأسر الفقيرة ذات العدد الكبير من الأبناء]
-
A.
featuredIn
chosen
Indicates that one entity appears or is prominently included within another entity, such as a person, work, or item being showcased in a larger work, event, or context.
-
B.
highlightsSign
Indicates that one entity visually emphasizes or draws special attention to a sign.
-
C.
appearsAs
Indicates that one entity is presented, perceived, or manifested in the form, role, or guise of another entity.
-
D.
notableDisplay
Indicates that something is prominently or distinctively presented in a way that draws special attention or recognition.
-
E.
notableForDepicting
Indicates that something is recognized or distinguished specifically for portraying or representing a particular subject, theme, or scene.
- 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_69e11e57483c8190b0887c4f8ff26446 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ed411488190a51320930b9805c2 |
completed | April 29, 2026, 1:28 a.m. |
| PD | Predicate disambiguation | batch_69e898c864148190a3f5feec7967d49c |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:51 p.m.