Triple
T10044742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Aziz |
E207586
|
entity |
| Predicate | rootLetters |
P28360
|
FINISHED |
| Object | ʿ-A-Z |
E722952
|
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: ʿ-A-Z | Statement: [Al-Aziz, rootLetters, ʿ-A-Z]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ʿ-A-Z Context triple: [Al-Aziz, rootLetters, ʿ-A-Z]
-
A.
ʿAzīz
chosen
ʿAzīz is an Arabic male given name and epithet meaning “mighty,” “dear,” or “beloved,” commonly used across the Muslim world.
-
B.
al-Ashʿath
al-Ashʿath was an early Muslim figure known primarily as the father of the renowned hadith scholar Abu Dawud Sulayman ibn al-Ashʿath al-Sijistani.
-
C.
An-Najm
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.
-
D.
Al-Hareeq
Al-Hareeq is a town in central Saudi Arabia known for its agricultural activity, particularly date palm cultivation, within the Riyadh region.
-
E.
Zubayd
Zubayd is an Arab tribe historically known from early Islamic and pre-Islamic Arabia, associated with notable warriors and figures such as Amr ibn Ma‘di Yakrib.
- 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_69ca835ad0608190b7c80b292da004f5 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcf62ecf081909c055171b78a883a |
completed | April 2, 2026, 2:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d282801c548190b6031bdde17f6e14 |
completed | April 5, 2026, 3:40 p.m. |
Created at: March 30, 2026, 8:56 p.m.