Triple

T17086893
Position Surface form Disambiguated ID Type / Status
Subject al-Omari Mosque (Old City) E414620 entity
Predicate hasNameInArabic P6450 FINISHED
Object الجامع العمري
الجامع العمري هو مسجد تاريخي عريق يقع في البلدة القديمة بمدينة غزة ويُعد من أقدم وأهم معالمها الدينية والمعمارية.
 E1249100 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 العمري | Statement: [al-Omari Mosque (Old City), hasNameInArabic, الجامع العمري]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: الجامع العمري
Context triple: [al-Omari Mosque (Old City), hasNameInArabic, الجامع العمري]
  • A. الجامع الكبير
    الجامع الكبير هو مسجد تاريخي عريق في مدينة الجزائر يُعد من أقدم وأهم المعالم الإسلامية في البلاد.
  • B. جامع علاء الدين
    جامع علاء الدين هو مسجد تاريخي كبير يقع على تلة علاء الدين في مدينة قونية بتركيا ويُعد من أقدم وأهم مساجدها السلجوقية.
  • C. Dar al-Maaref
    Dar al-Maaref is an Egyptian publishing house known for issuing influential Arabic literary and cultural works.
  • 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. Al Bidya Mosque
    Al Bidya Mosque is the oldest known mosque in the United Arab Emirates, renowned for its distinctive mud-brick architecture and historical significance.
  • 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 العمري
Triple: [al-Omari Mosque (Old City), hasNameInArabic, الجامع العمري]
Generated description
الجامع العمري هو مسجد تاريخي عريق يقع في البلدة القديمة بمدينة غزة ويُعد من أقدم وأهم معالمها الدينية والمعمارية.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: الجامع العمري
Target entity description: الجامع العمري هو مسجد تاريخي عريق يقع في البلدة القديمة بمدينة غزة ويُعد من أقدم وأهم معالمها الدينية والمعمارية.
  • A. الجامع الكبير
    الجامع الكبير هو مسجد تاريخي عريق في مدينة الجزائر يُعد من أقدم وأهم المعالم الإسلامية في البلاد.
  • B. جامع علاء الدين
    جامع علاء الدين هو مسجد تاريخي كبير يقع على تلة علاء الدين في مدينة قونية بتركيا ويُعد من أقدم وأهم مساجدها السلجوقية.
  • C. Dar al-Maaref
    Dar al-Maaref is an Egyptian publishing house known for issuing influential Arabic literary and cultural works.
  • 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. Al Bidya Mosque
    Al Bidya Mosque is the oldest known mosque in the United Arab Emirates, renowned for its distinctive mud-brick architecture and historical significance.
  • 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbe7ccb48190b8fb39e2a0ba0782 completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ee651ec8190a37c5997f394d24b completed May 11, 2026, 1:20 a.m.
NEDg Description generation batch_6a012ff7788c819086b2e6c0e382014c completed May 11, 2026, 1:25 a.m.
NED2 Entity disambiguation (via description) batch_6a0130dbe1f8819095b2d36882bf3287 completed May 11, 2026, 1:29 a.m.
Created at: April 10, 2026, 5:35 a.m.