Triple
T14550148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iqra |
E341393
|
entity |
| Predicate | surahName |
P15360
|
FINISHED |
| Object | Al-Alaq |
E341392
|
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-Alaq | Statement: [Iqra, surahName, Al-Alaq]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al-Alaq Context triple: [Iqra, surahName, Al-Alaq]
-
A.
Al-Alaq
chosen
Al-Alaq is the 96th chapter of the Qur’an, renowned for containing the first verses revealed to the Prophet Muhammad and emphasizing reading, knowledge, and human creation.
-
B.
Pluma
Pluma is the lightweight text editor for the MATE desktop environment, designed as a continuation of the classic GNOME 2 "gedit" editor.
-
C.
Alif
Alif is one of the official mascots of Expo 2020 Dubai, represented as a futuristic robot embodying innovation and mobility.
-
D.
Al-Qalam
Al-Qalam is the transliterated Arabic title of the 68th chapter of the Qur’an, known for its emphasis on moral character and the story of the People of the Garden.
-
E.
Al Boraq
Al Boraq is Morocco’s high-speed train service that connects major cities such as Casablanca and Tangier.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb2ed2b4c8190945bd26531c71f1f |
completed | April 14, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a6344b08190a3c1124c6dd7da96 |
completed | May 8, 2026, 5:53 a.m. |
Created at: April 10, 2026, 1:23 a.m.