Triple
T12919295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Djamaa el Kebir |
E309071
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object |
الجامع الكبير
الجامع الكبير هو مسجد تاريخي عريق في مدينة الجزائر يُعد من أقدم وأهم المعالم الإسلامية في البلاد.
|
E1010685
|
NE FINISHED |
How this triple was built (4 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: الجامع الكبير | Statement: [Djamaa el Kebir, nativeName, الجامع الكبير]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: الجامع الكبير Context triple: [Djamaa el Kebir, nativeName, الجامع الكبير]
-
A.
Dar al-Maaref
Dar al-Maaref is an Egyptian publishing house known for issuing influential Arabic literary and cultural works.
-
B.
الجامع الزيتونة
الجامع الزيتونة هو أحد أقدم الجوامع في العالم ومركز تاريخي للعلم والدين في مدينة تونس العتيقة.
-
C.
Al-Attarine Madrasa
Al-Attarine Madrasa is a historic 14th-century Islamic college in Fez, Morocco, renowned for its exquisite Marinid architecture and intricate decorative artistry.
-
D.
al-Qarawiyyin Mosque
Al-Qarawiyyin Mosque is a historic Islamic place of worship in Fez, Morocco, renowned as one of the world’s oldest continually operating religious and educational centers.
-
E.
Saffarin Madrasa
Saffarin Madrasa is a historic Islamic educational institution in Fez, Morocco, renowned as one of the city’s oldest madrasas and an important example of Marinid-era architecture.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: الجامع الكبير Triple: [Djamaa el Kebir, nativeName, الجامع الكبير]
Generated description
الجامع الكبير هو مسجد تاريخي عريق في مدينة الجزائر يُعد من أقدم وأهم المعالم الإسلامية في البلاد.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: الجامع الكبير Target entity description: الجامع الكبير هو مسجد تاريخي عريق في مدينة الجزائر يُعد من أقدم وأهم المعالم الإسلامية في البلاد.
-
A.
Dar al-Maaref
Dar al-Maaref is an Egyptian publishing house known for issuing influential Arabic literary and cultural works.
-
B.
الجامع الزيتونة
الجامع الزيتونة هو أحد أقدم الجوامع في العالم ومركز تاريخي للعلم والدين في مدينة تونس العتيقة.
-
C.
Al-Attarine Madrasa
Al-Attarine Madrasa is a historic 14th-century Islamic college in Fez, Morocco, renowned for its exquisite Marinid architecture and intricate decorative artistry.
-
D.
al-Qarawiyyin Mosque
Al-Qarawiyyin Mosque is a historic Islamic place of worship in Fez, Morocco, renowned as one of the world’s oldest continually operating religious and educational centers.
-
E.
Saffarin Madrasa
Saffarin Madrasa is a historic Islamic educational institution in Fez, Morocco, renowned as one of the city’s oldest madrasas and an important example of Marinid-era architecture.
- F. None of above. chosen
Provenance (5 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971e6d9fc8190b8a5244b26b5f78a |
completed | April 10, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af5ffcc48190bf93ce32e4aecfcd |
completed | May 3, 2026, 2:13 a.m. |
| NEDg | Description generation | batch_69f6b0653ef88190ad0e3a48675ecdcc |
completed | May 3, 2026, 2:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6b1ae645c8190a7c3e5f926c6a487 |
completed | May 3, 2026, 2:23 a.m. |
Created at: April 9, 2026, 5:41 p.m.