Triple
T32838466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | النشيد الوطني الجزائري |
E839898
|
entity |
| Predicate | الوزن_الشعري |
P175163
|
FINISHED |
| Object | بحر الكامل (وفق أغلب الدراسات الأدبية) |
—
|
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: بحر الكامل (وفق أغلب الدراسات الأدبية) | Statement: [النشيد الوطني الجزائري, الوزن_الشعري, بحر الكامل (وفق أغلب الدراسات الأدبية)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: الوزن_الشعري Context triple: [النشيد الوطني الجزائري, الوزن_الشعري, بحر الكامل (وفق أغلب الدراسات الأدبية)]
-
A.
وزن
Indicates a relationship where one entity has, measures, or is characterized by a certain weight or mass.
-
B.
weight
Indicates a relationship where a numerical value quantifies how heavy an entity is, often used to measure or compare mass or load.
-
C.
intendedWeight
Indicates the target or desired weight that an entity is meant or planned to have, rather than its current actual weight.
-
D.
ظهرفي
Indicates that an entity appears, is shown, or is present within another entity (such as a place, medium, or context).
-
E.
colorWeight
Indicates a relationship where a specific color is associated with a particular weight, intensity, or importance value.
- 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_69f3493ff0888190b51e974eae2a7834 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6cee547108190ad3bc84297d8f516 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1667a48190b42684f6ec22dae9 |
completed | May 3, 2026, 4:16 a.m. |
| PDg | Predicate description generation | batch_69f6ce6c76bc8190b865343d3f5810c9 |
completed | May 3, 2026, 4:26 a.m. |
Created at: May 1, 2026, 1:16 a.m.