Triple
T3586680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surah Al-Falaq |
E75926
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Al-Falaq |
E75926
|
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-Falaq | Statement: [Surah Al-Falaq, name, Al-Falaq]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al-Falaq Context triple: [Surah Al-Falaq, name, Al-Falaq]
-
A.
Surah Al-Falaq
chosen
Surah Al-Falaq is a short Meccan chapter of the Quran that seeks God's protection from all forms of external evil and harm.
-
B.
Al-Ma'arij
Al-Ma'arij is the 70th chapter of the Qur'an, known for its vivid depiction of the Day of Judgment and the ascension of deeds and angels to God.
-
C.
Al-Kawthar
Al-Kawthar is the 108th and one of the shortest chapters (surahs) of the Qur’an, traditionally understood as a message of divine abundance and consolation to the Prophet Muhammad.
-
D.
Ad-Duha
Ad-Duha is the 93rd chapter of the Qur’an, known for consoling the Prophet Muhammad and affirming that God’s care and future blessings surpass past hardships.
-
E.
Al-Buruj
Al-Buruj is the 85th chapter of the Qur’an, known for its themes of divine watchfulness, the persecution of believers, and the ultimate triumph of faith.
- 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_69ad85d6dc3c8190b491b79b83e25461 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc137eb708190809cd52b6deb227c |
completed | March 8, 2026, 6:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4030088548190adbb029be1caeb81 |
completed | March 13, 2026, 12:28 p.m. |
Created at: March 8, 2026, 3:22 p.m.