Triple
T32838514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | مفدي زكريا |
E839899
|
entity |
| Predicate | إرث |
P103404
|
FINISHED |
| Object | إسهام في ترسيخ الخطاب الوطني في الشعر الجزائري |
—
|
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: إسهام في ترسيخ الخطاب الوطني في الشعر الجزائري | Statement: [مفدي زكريا, إرث, إسهام في ترسيخ الخطاب الوطني في الشعر الجزائري]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: إرث Context triple: [مفدي زكريا, إرث, إسهام في ترسيخ الخطاب الوطني في الشعر الجزائري]
-
A.
الحفيد
Indicates a grandchild relationship, where one entity is the descendant (grandson or granddaughter) of another entity’s child.
-
B.
السمعة
chosen
Indicates the reputation or public perception associated with an entity based on others’ opinions or past actions.
-
C.
من السور
Indicates a relationship where something originates from, is taken from, or is part of a specific wall or fence.
-
D.
التأثير
Indicates a relationship where one entity produces a change or has an influence on another entity or its state.
-
E.
خلفه
Indicates that one entity comes after, succeeds, or replaces another in position, role, or time.
- 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_69f3493ff0888190b51e974eae2a7834 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6ce6d659881909ddcec1d2966e020 |
completed | May 3, 2026, 4:26 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1667a48190b42684f6ec22dae9 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 1:16 a.m.