Triple
T2777053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surah An-Nazi'at |
E61597
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object |
An-Naziat
An-Naziat is the 79th chapter of the Qur'an, known for its vivid depiction of the Day of Resurrection and the fate of past nations.
|
E301841
|
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: An-Naziat | Statement: [Surah An-Nazi'at, name, An-Naziat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: An-Naziat Context triple: [Surah An-Nazi'at, name, An-Naziat]
-
A.
An-Naba
An-Naba is the 78th chapter of the Qur’an, known for its vivid depiction of the Day of Resurrection and the consequences of belief and disbelief.
-
B.
Al-Darb
Al-Darb is a town in southwestern Saudi Arabia located within the coastal Jazan Region along the Red Sea.
-
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.
Al-Hinakiya
Al-Hinakiya is a town in western Saudi Arabia situated within the administrative boundaries of Al Madinah Province.
-
E.
Sawalha
Sawalha is a family name most notably associated with British actresses Julia and Nadia Sawalha.
- 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: An-Naziat Triple: [Surah An-Nazi'at, name, An-Naziat]
Generated description
An-Naziat is the 79th chapter of the Qur'an, known for its vivid depiction of the Day of Resurrection and the fate of past nations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: An-Naziat Target entity description: An-Naziat is the 79th chapter of the Qur'an, known for its vivid depiction of the Day of Resurrection and the fate of past nations.
-
A.
An-Naba
An-Naba is the 78th chapter of the Qur’an, known for its vivid depiction of the Day of Resurrection and the consequences of belief and disbelief.
-
B.
Al-Darb
Al-Darb is a town in southwestern Saudi Arabia located within the coastal Jazan Region along the Red Sea.
-
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.
Al-Hinakiya
Al-Hinakiya is a town in western Saudi Arabia situated within the administrative boundaries of Al Madinah Province.
-
E.
Sawalha
Sawalha is a family name most notably associated with British actresses Julia and Nadia Sawalha.
- 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_69ab4b7e43c48190997b8fc8fb1663ab |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdd82a864819082bd1181a16d5208 |
completed | March 7, 2026, 8:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afce8c2a088190824c1a720db05382 |
completed | March 10, 2026, 7:55 a.m. |
| NEDg | Description generation | batch_69afcf7cc6f08190aefbe07ef51f1928 |
completed | March 10, 2026, 7:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afcfd803848190921f73fe1b15a01b |
completed | March 10, 2026, 8:01 a.m. |
Created at: March 6, 2026, 9:57 p.m.