Triple
T2016396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surah Az-Zukhruf |
E44004
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | الزخرف |
E225865
|
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: الزخرف | Statement: [Surah Az-Zukhruf, name, الزخرف]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: الزخرف Context triple: [Surah Az-Zukhruf, name, الزخرف]
-
A.
Az-Zukhruf
chosen
Az-Zukhruf is the 43rd chapter of the Qur’an, known for emphasizing the folly of worldly adornments and the importance of sincere faith in God.
-
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.
Bustan
Bustan is a celebrated didactic poem by the 13th-century Persian poet Saadi, renowned for its moral tales and reflections on ethics and Sufi philosophy.
-
D.
Lisān al-Ghayb
Lisān al-Ghayb is the honorific epithet of the Persian poet Hafez, highlighting his perceived mystical insight into the unseen and the divine.
-
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.
- 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_69a8891201bc8190aca837be6de41579 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb8ccdb7c81909f6b3c96f79fcdfc |
completed | March 7, 2026, 5:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae270a8cd88190a17839c345424ccd |
completed | March 9, 2026, 1:48 a.m. |
Created at: March 4, 2026, 7:38 p.m.