Triple
T19511293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Ashrafiya Mosque |
E488158
|
entity |
| Predicate | hasNameInArabic |
P6450
|
FINISHED |
| Object | مسجد الأشرفية |
—
|
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: مسجد الأشرفية | Statement: [Al-Ashrafiya Mosque, hasNameInArabic, مسجد الأشرفية]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: مسجد الأشرفية Context triple: [Al-Ashrafiya Mosque, hasNameInArabic, مسجد الأشرفية]
-
A.
Al-Mudhaffar Mosque
Al-Mudhaffar Mosque is a historic and architecturally significant Islamic mosque located in the city of Taiz, Yemen.
-
B.
Abu Haggag Mosque
Abu Haggag Mosque is a historic Islamic place of worship in Luxor, Egypt, uniquely built atop and within the ancient Luxor Temple complex.
-
C.
Al-Ashrafiya Mosque
chosen
Al-Ashrafiya Mosque is a historic Islamic mosque and madrasa in Taiz, Yemen, renowned for its intricate architecture and richly decorated interior.
-
D.
Mubarak Mosque
Mubarak Mosque is a prominent Ahmadiyya Muslim mosque in Qadian, India, historically significant as a central site for the community’s religious activities.
-
E.
Al Rifa'i Mosque
Al Rifa'i Mosque is a grand 19th–20th century royal mosque in Cairo, Egypt, known for housing the tombs of Egyptian royals and notable Middle Eastern leaders.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63516572c8190a8719c51fd3f7147 |
completed | April 20, 2026, 2:15 p.m. |
Created at: April 10, 2026, 1:40 p.m.