Triple
T1856350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surah Ghafir |
E41712
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object |
Ghafir
Ghafir is the 40th chapter of the Qur'an, also known as "The Forgiver," which emphasizes God's mercy, forgiveness, and the fate of past nations who denied the truth.
|
E207583
|
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: Ghafir | Statement: [Surah Ghafir, name, Ghafir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ghafir Context triple: [Surah Ghafir, name, Ghafir]
-
A.
Shuayb
Shuayb is an Islamic prophet, often identified with Jethro, who was sent to the people of Midian to call them to monotheism and honest dealings.
-
B.
Hijr Ismail
Hijr Ismail is a semi-circular walled area adjacent to the Kaaba in Mecca that is considered a sacred space and part of the original Kaaba’s foundation.
-
C.
Abdullah
Abdullah is a common Arabic male given name, notably borne by King Abdullah II of Jordan.
-
D.
Harun
Harun is the Islamic prophet Aaron, brother of Moses, revered for his prophethood and leadership among the Israelites.
-
E.
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.
- 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: Ghafir Triple: [Surah Ghafir, name, Ghafir]
Generated description
Ghafir is the 40th chapter of the Qur'an, also known as "The Forgiver," which emphasizes God's mercy, forgiveness, and the fate of past nations who denied the truth.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ghafir Target entity description: Ghafir is the 40th chapter of the Qur'an, also known as "The Forgiver," which emphasizes God's mercy, forgiveness, and the fate of past nations who denied the truth.
-
A.
Shuayb
Shuayb is an Islamic prophet, often identified with Jethro, who was sent to the people of Midian to call them to monotheism and honest dealings.
-
B.
Hijr Ismail
Hijr Ismail is a semi-circular walled area adjacent to the Kaaba in Mecca that is considered a sacred space and part of the original Kaaba’s foundation.
-
C.
Abdullah
Abdullah is a common Arabic male given name, notably borne by King Abdullah II of Jordan.
-
D.
Harun
Harun is the Islamic prophet Aaron, brother of Moses, revered for his prophethood and leadership among the Israelites.
-
E.
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.
- 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_69a8864a83848190a4ec02721306c511 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb07e5ed48190a7b8858e2b355109 |
completed | March 7, 2026, 4:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69add1cb5b708190a0b89b157ea9da58 |
completed | March 8, 2026, 7:45 p.m. |
| NEDg | Description generation | batch_69add2729498819082f6595c57f545a8 |
completed | March 8, 2026, 7:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69add32803a48190b8ff08c605790f22 |
completed | March 8, 2026, 7:51 p.m. |
Created at: March 4, 2026, 7:33 p.m.