Triple
T6503374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | An Nisa |
E148946
|
entity |
| Predicate | followsSurah |
P30312
|
FINISHED |
| Object | Al Imran |
E207583
|
NE FINISHED |
How this triple was built (2 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 Imran | Statement: [An Nisa, followsSurah, Al Imran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al Imran Context triple: [An Nisa, followsSurah, Al Imran]
-
A.
Abdullah
Abdullah is a common Arabic male given name, notably borne by King Abdullah II of Jordan.
-
B.
Yusuf as-Siddiq
Yusuf as-Siddiq is a city in Egypt’s Faiyum Governorate, known for its agricultural surroundings and location within the fertile Faiyum Oasis region.
-
C.
Ali Zayn al-Abidin
Ali Zayn al-Abidin was the fourth Shia Imam, revered for his piety, scholarship, and foundational role in shaping early Shia theology and jurisprudence.
-
D.
Ghafir
chosen
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.
-
E.
Muhammad ibn al-Hanafiyyah
Muhammad ibn al-Hanafiyyah was a prominent early Islamic figure and son of Ali ibn Abi Talib, known for his piety, scholarship, and role in the political and theological developments following the early caliphates.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c687e9ad288190bae5bcac9c8ac855 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c699647ad08190ac0bfd78907d0c3b |
completed | March 27, 2026, 2:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d50b15f081909bb7024fa57d528b |
completed | March 27, 2026, 7:05 p.m. |
Created at: March 27, 2026, 1:42 p.m.