Triple
T15899722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quran 3:18 |
E385550
|
entity |
| Predicate | endsWithArabic |
P120976
|
FINISHED |
| Object | الْعَزِيزُ الْحَكِيمُ |
—
|
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: الْعَزِيزُ الْحَكِيمُ | Statement: [Quran 3:18, endsWithArabic, الْعَزِيزُ الْحَكِيمُ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endsWithArabic Context triple: [Quran 3:18, endsWithArabic, الْعَزِيزُ الْحَكِيمُ]
-
A.
hasNameInArabic
Indicates that an entity is associated with a specific name expressed in the Arabic language.
-
B.
hasOpeningWordsArabic
Indicates that an entity (such as a text, document, or work) has specific opening words expressed in the Arabic language.
-
C.
hasArabicNumeral
Indicates that an entity is associated with, represented by, or expressed using an Arabic numeral.
-
D.
hasGivenNameFormInArabic
Indicates that an entity has a specific given-name form expressed in the Arabic language.
-
E.
endsWith
Indicates that one entity terminates with, or has as its final part, the sequence or element represented by the other entity.
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4d08f481909f38b75e3f42d9ab |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142ca3b208190946c3aa4c1e6087c |
completed | April 16, 2026, 8:12 p.m. |
| PDg | Predicate description generation | batch_69e17d48cc9c8190b03fd07ae2e9dfd8 |
completed | April 17, 2026, 12:22 a.m. |
Created at: April 10, 2026, 4:51 a.m.