Triple
T3106629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surah Al-A'la |
E64846
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object |
Al-A'la
Al-A'la is the Arabic name of a Meccan chapter of the Qur'an that praises and glorifies the Most High God.
|
E328008
|
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: Al-A'la | Statement: [Surah Al-A'la, name, Al-A'la]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al-A'la Context triple: [Surah Al-A'la, name, Al-A'la]
-
A.
Al-Abwa
Al-Abwa is a small village in western Saudi Arabia historically noted as the place where Aminah bint Wahb, the mother of the Prophet Muhammad, died and was buried.
-
B.
Muzdalifa
Muzdalifa is an open plain near Mecca in Saudi Arabia where Muslim pilgrims gather, pray, and collect pebbles during the Hajj pilgrimage.
-
C.
An-Najm
An-Najm is the 53rd chapter of the Qur’an, known for its powerful verses affirming the Prophet Muhammad’s divine revelation and warning against idolatry.
-
D.
As-Samad
As-Samad is one of the names of Allah in Islam, signifying the One who is absolutely self-sufficient, eternally depended upon by all creation, and free of all need.
-
E.
Manal al-Sharif
Manal al-Sharif is a Saudi women’s rights activist best known for leading the women’s driving campaign in Saudi Arabia and challenging the kingdom’s male guardianship system.
- 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: Al-A'la Triple: [Surah Al-A'la, name, Al-A'la]
Generated description
Al-A'la is the Arabic name of a Meccan chapter of the Qur'an that praises and glorifies the Most High God.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Al-A'la Target entity description: Al-A'la is the Arabic name of a Meccan chapter of the Qur'an that praises and glorifies the Most High God.
-
A.
Al-Abwa
Al-Abwa is a small village in western Saudi Arabia historically noted as the place where Aminah bint Wahb, the mother of the Prophet Muhammad, died and was buried.
-
B.
Muzdalifa
Muzdalifa is an open plain near Mecca in Saudi Arabia where Muslim pilgrims gather, pray, and collect pebbles during the Hajj pilgrimage.
-
C.
An-Najm
An-Najm is the 53rd chapter of the Qur’an, known for its powerful verses affirming the Prophet Muhammad’s divine revelation and warning against idolatry.
-
D.
As-Samad
As-Samad is one of the names of Allah in Islam, signifying the One who is absolutely self-sufficient, eternally depended upon by all creation, and free of all need.
-
E.
Manal al-Sharif
Manal al-Sharif is a Saudi women’s rights activist best known for leading the women’s driving campaign in Saudi Arabia and challenging the kingdom’s male guardianship system.
- 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_69ad857eeaf48190b34ebfdaa7a264cf |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada29d4aa8819093287bc71370fc05 |
completed | March 8, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20388b7788190b78b9dd2671214ad |
completed | March 12, 2026, 12:06 a.m. |
| NEDg | Description generation | batch_69b204d73a34819099411deeac073b4a |
completed | March 12, 2026, 12:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b208879a408190aaa368c73d096bb3 |
completed | March 12, 2026, 12:27 a.m. |
Created at: March 8, 2026, 3:04 p.m.