Triple
T10386310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | At-Tur |
E244770
|
entity |
| Predicate | revealedBefore |
P29998
|
FINISHED |
| Object | An-Najm |
E248208
|
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: An-Najm | Statement: [At-Tur, revealedBefore, An-Najm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: An-Najm Context triple: [At-Tur, revealedBefore, An-Najm]
-
A.
An-Najm
chosen
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.
-
B.
Al-Lakhmi
Al-Lakhmi was a prominent medieval Maliki jurist and legal scholar whose opinions significantly shaped the development of Maliki jurisprudence.
-
C.
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.
-
D.
Shuja
Shuja is a given name most notably associated with Shuja Shah Durrani, a 19th-century ruler of the Durrani Empire in Afghanistan.
-
E.
Naqiʾa
Naqiʾa was a powerful Neo-Assyrian royal woman, influential as queen and political advisor during the reigns of Sennacherib and her son Esarhaddon.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9a42e748190b10fa7b4ca006bad |
completed | April 7, 2026, 11:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d795a30a008190a42db2eda3b5dca2 |
completed | April 9, 2026, 12:03 p.m. |
Created at: April 6, 2026, 12:05 p.m.