Triple
T32838491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | مفدي زكريا |
E839899
|
entity |
| Predicate | دور |
P175165
|
FINISHED |
| Object | كاتب كلمات النشيد الوطني الجزائري قسماً |
—
|
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: كاتب كلمات النشيد الوطني الجزائري قسماً | Statement: [مفدي زكريا, دور, كاتب كلمات النشيد الوطني الجزائري قسماً]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: دور Context triple: [مفدي زكريا, دور, كاتب كلمات النشيد الوطني الجزائري قسماً]
-
A.
دور رئيسي
Indicates that an entity plays a primary or leading role in an action, event, or relationship compared to other involved entities.
-
B.
rulerOf
Indicates that one entity holds governing authority or sovereignty over another entity, such as a person ruling a country or territory.
-
C.
夫の地位
Indicates the social or professional status or position held by a husband in relation to others.
-
D.
regent
Indicates that one entity serves as the regent, exercising ruling authority on behalf of another (typically a monarch or state), usually during a period when the rightful ruler is unable to govern.
-
E.
fatherIsRulerOf
Indicates that the person who is the father holds the position of ruler or sovereign over the specified entity or domain.
- 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.