Triple
T21648585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | حي السيدة زينب |
E534277
|
entity |
| Predicate | popularName |
P22212
|
FINISHED |
| Object | السيدة زينب |
—
|
NE NERFINISHED |
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: السيدة زينب | Statement: [حي السيدة زينب, popularName, السيدة زينب]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: السيدة زينب Context triple: [حي السيدة زينب, popularName, السيدة زينب]
-
A.
حي السيدة زينب
حي السيدة زينب هو أحد أقدم الأحياء الشعبية والتاريخية في القاهرة، يشتهر بمسجده الشهير وأسواقه التقليدية وقربه من مؤسسات طبية وتعليمية كبرى.
-
B.
الملكة زين الشرف
الملكة زين الشرف هي ملكة أردنية سابقة ووالدة الملك حسين بن طلال، عُرفت بدورها البارز في الحياة السياسية والاجتماعية في الأردن خلال منتصف القرن العشرين.
-
C.
El Sayeda Zeinab
chosen
El Sayeda Zeinab is a historic district in central Cairo known for its famous mosque, bustling traditional markets, and rich religious and cultural significance.
-
D.
Zubdat-un-Nissa
Zubdat-un-Nissa was a Mughal princess, the daughter of Emperor Aurangzeb and his chief consort Dilras Banu Begum.
-
E.
Oum er-Rbia
Oum er-Rbia is one of Morocco’s longest and most important rivers, flowing from the Middle Atlas mountains to the Atlantic Ocean and supporting extensive agricultural and hydroelectric activity along its course.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c466aec88190ba39c7543dbc8ba2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef59131c88819082df8e5b87f5954b |
completed | April 27, 2026, 12:39 p.m. |
Created at: April 16, 2026, 6:35 p.m.