Triple
T7224722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | المدينة |
E150349
|
entity |
| Predicate | تضم |
P1393
|
FINISHED |
| Object |
البقيع
البقيع هو مقبرة تاريخية إسلامية في المدينة المنورة يُدفن فيها عدد كبير من الصحابة وأهل بيت النبي محمد صلى الله عليه وسلم.
|
E650209
|
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: البقيع | Statement: [المدينة, تضم, البقيع]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: البقيع Context triple: [المدينة, تضم, البقيع]
-
A.
Mazar
Mazar is the surname of American actress and television personality Debi Mazar, known for her sharp-tongued roles in film and TV.
-
B.
مقبرة العود
مقبرة العود هي من أقدم وأشهر المقابر في مدينة الرياض وتُعدّ مدفنًا لعدد من ملوك وأمراء المملكة العربية السعودية.
-
C.
Al-Basatin Cemetery
Al-Basatin Cemetery is a historic Muslim burial ground in Cairo, Egypt, known for being the resting place of various notable Egyptian figures.
-
D.
Umm Hurair Cemetery
Umm Hurair Cemetery is a burial ground in Dubai, United Arab Emirates, known as the resting place of prominent members of the ruling Al Maktoum family.
-
E.
Wadi-us-Salaam cemetery
Wadi-us-Salaam cemetery is a vast Islamic burial ground in Najaf, Iraq, regarded as one of the largest and most significant cemeteries in the world for Shia Muslims.
- 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: البقيع Triple: [المدينة, تضم, البقيع]
Generated description
البقيع هو مقبرة تاريخية إسلامية في المدينة المنورة يُدفن فيها عدد كبير من الصحابة وأهل بيت النبي محمد صلى الله عليه وسلم.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: البقيع Target entity description: البقيع هو مقبرة تاريخية إسلامية في المدينة المنورة يُدفن فيها عدد كبير من الصحابة وأهل بيت النبي محمد صلى الله عليه وسلم.
-
A.
Mazar
Mazar is the surname of American actress and television personality Debi Mazar, known for her sharp-tongued roles in film and TV.
-
B.
مقبرة العود
مقبرة العود هي من أقدم وأشهر المقابر في مدينة الرياض وتُعدّ مدفنًا لعدد من ملوك وأمراء المملكة العربية السعودية.
-
C.
Al-Basatin Cemetery
Al-Basatin Cemetery is a historic Muslim burial ground in Cairo, Egypt, known for being the resting place of various notable Egyptian figures.
-
D.
Umm Hurair Cemetery
Umm Hurair Cemetery is a burial ground in Dubai, United Arab Emirates, known as the resting place of prominent members of the ruling Al Maktoum family.
-
E.
Wadi-us-Salaam cemetery
Wadi-us-Salaam cemetery is a vast Islamic burial ground in Najaf, Iraq, regarded as one of the largest and most significant cemeteries in the world for Shia Muslims.
- 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_69c687effb44819092b95d07d0368c9f |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6f04089408190aa20ed6767590ae1 |
completed | March 27, 2026, 9:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cc11b48881909886a71f1b887789 |
completed | March 28, 2026, 12:39 p.m. |
| NEDg | Description generation | batch_69c7cd47d4b88190a75c419c41d57cb9 |
completed | March 28, 2026, 12:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7cdbdee8081908faadb9cdaa4df13 |
completed | March 28, 2026, 12:46 p.m. |
Created at: March 27, 2026, 2:54 p.m.