Triple
T3553614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surah Al-Masad |
E75168
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object |
Al-Masad
Al-Masad is the 111th chapter of the Qur’an, known for condemning Abu Lahab and his wife for their opposition to the Prophet Muhammad.
|
E367045
|
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-Masad | Statement: [Surah Al-Masad, name, Al-Masad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al-Masad Context triple: [Surah Al-Masad, name, Al-Masad]
-
A.
At-Takathur
At-Takathur is the 102nd chapter of the Qur’an, known for its admonition against worldly rivalry and distraction from the hereafter.
-
B.
As-Sab‘ al-Mathani
As-Sab‘ al-Mathani is an honorific title for Surah Al-Fatiha, highlighting its special status as a frequently recited, foundational chapter of the Qur’an.
-
C.
Al Mandaq
Al Mandaq is a town in southwestern Saudi Arabia known for its mountainous terrain and cool climate within the Al Bahah region.
-
D.
Al-Ma'un
Al-Ma'un is the 107th chapter of the Qur'an, known for condemning hypocrisy and neglect of orphans and the poor.
-
E.
Badhl al-Majhud
Badhl al-Majhud is a renowned multi-volume scholarly commentary on the hadith collection Sunan Abu Dawud, widely used in advanced Islamic studies.
- 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-Masad Triple: [Surah Al-Masad, name, Al-Masad]
Generated description
Al-Masad is the 111th chapter of the Qur’an, known for condemning Abu Lahab and his wife for their opposition to the Prophet Muhammad.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Al-Masad Target entity description: Al-Masad is the 111th chapter of the Qur’an, known for condemning Abu Lahab and his wife for their opposition to the Prophet Muhammad.
-
A.
At-Takathur
At-Takathur is the 102nd chapter of the Qur’an, known for its admonition against worldly rivalry and distraction from the hereafter.
-
B.
As-Sab‘ al-Mathani
As-Sab‘ al-Mathani is an honorific title for Surah Al-Fatiha, highlighting its special status as a frequently recited, foundational chapter of the Qur’an.
-
C.
Al Mandaq
Al Mandaq is a town in southwestern Saudi Arabia known for its mountainous terrain and cool climate within the Al Bahah region.
-
D.
Al-Ma'un
Al-Ma'un is the 107th chapter of the Qur'an, known for condemning hypocrisy and neglect of orphans and the poor.
-
E.
Badhl al-Majhud
Badhl al-Majhud is a renowned multi-volume scholarly commentary on the hadith collection Sunan Abu Dawud, widely used in advanced Islamic studies.
- 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_69ad85d33c6c819081d5ac1df13b5680 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc05394888190b59fafda97b49beb |
completed | March 8, 2026, 6:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38beef8b4819090109ab89e9671d6 |
completed | March 13, 2026, 4 a.m. |
| NEDg | Description generation | batch_69b38c84fc788190a074f14a76bb7944 |
completed | March 13, 2026, 4:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b38cb872948190a75bc6d6829187c5 |
completed | March 13, 2026, 4:04 a.m. |
Created at: March 8, 2026, 3:20 p.m.