Triple
T32798799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Qahhar |
E838840
|
entity |
| Predicate | numberInAsmaAlHusna |
P203758
|
FINISHED |
| Object | one of the 99 Names of Allah |
—
|
LITERAL 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: one of the 99 Names of Allah | Statement: [Al-Qahhar, numberInAsmaAlHusna, one of the 99 Names of Allah]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberInAsmaAlHusna Context triple: [Al-Qahhar, numberInAsmaAlHusna, one of the 99 Names of Allah]
-
A.
numberOfSurahs
Indicates the total count of surahs associated with a given entity (such as a text, section, or collection).
-
B.
numericalValueHebrewGematria
Indicates that a numerical value is assigned to text based on Hebrew gematria, where Hebrew letters correspond to specific numbers and their sum yields the value.
-
C.
rukūʿNumberInSurah
Indicates the number or position of a specific rukūʿ (section of verses) within a given surah.
-
D.
pillarOfIslamNumber
Indicates the ordinal position of a given practice or belief within the set of the Five Pillars of Islam.
-
E.
quranSurahAlternateName
Indicates that a particular name is an alternate or secondary title used to refer to a specific surah of the Quran.
- F. None of above. chosen
Provenance (4 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_69f3493c7f6881908edf2aa13631d1e0 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a01e4ba62748190a4756689219b6269 |
completed | May 11, 2026, 2:16 p.m. |
| PD | Predicate disambiguation | batch_6a01e3fc2d908190a075c7c1549e5640 |
completed | May 11, 2026, 2:13 p.m. |
| PDg | Predicate description generation | batch_6a01e4b8f30c8190bca53f713ee0f901 |
completed | May 11, 2026, 2:16 p.m. |
Created at: May 1, 2026, 1:14 a.m.