Triple
T16622216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zitouna Mosque |
E403861
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | جامع الزيتونة |
E397542
|
NE 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: جامع الزيتونة | Statement: [Zitouna Mosque, nativeName, جامع الزيتونة]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: جامع الزيتونة Context triple: [Zitouna Mosque, nativeName, جامع الزيتونة]
-
A.
الجامع الزيتونة
chosen
الجامع الزيتونة هو أحد أقدم الجوامع في العالم ومركز تاريخي للعلم والدين في مدينة تونس العتيقة.
-
B.
Ibn Zohr University
Ibn Zohr University is a public higher education institution in Agadir, Morocco, known for serving the southern regions of the country with a wide range of academic programs and research activities.
-
C.
Al-Qarawiyyin University
Al-Qarawiyyin University is a historic center of Islamic learning in Fez, Morocco, often regarded as one of the oldest continuously operating universities in the world.
-
D.
Dar al-Maaref
Dar al-Maaref is an Egyptian publishing house known for issuing influential Arabic literary and cultural works.
-
E.
الجامع الكبير
الجامع الكبير هو مسجد تاريخي عريق في مدينة الجزائر يُعد من أقدم وأهم المعالم الإسلامية في البلاد.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3754e80ec8190b3c66b33dbc7463c |
completed | April 18, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084b5afc081908d16f0b43fff20fc |
completed | May 10, 2026, 1:14 p.m. |
Created at: April 10, 2026, 5:17 a.m.