Triple
T2777064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surah An-Nazi'at |
E61597
|
entity |
| Predicate | basmala |
P35246
|
FINISHED |
| Object | present |
—
|
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: present | Statement: [Surah An-Nazi'at, basmala, present]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basmala Context triple: [Surah An-Nazi'at, basmala, present]
-
A.
containsBasmalah
chosen
Indicates that something (such as a text, document, or verse) includes the Basmalah phrase ("In the name of God, the Most Gracious, the Most Merciful") within it.
-
B.
hizb
Indicates a relationship in which an entity is affiliated with, belongs to, or is associated with a political party or organized group.
-
C.
containsMuqattaat
Indicates that the referenced text or verse includes muqattaat, the disjointed or abbreviated Arabic letters that appear at the beginnings of some Quranic chapters.
-
D.
hasImam
Indicates that an entity is associated with, led by, or served by a particular imam in a religious or community context.
-
E.
juz
Indicates a judgment or evaluation made about one entity in relation to another.
- F. None of above.
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_69ab4b7e43c48190997b8fc8fb1663ab |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddceb9d88190961e30d521a21552 |
completed | March 7, 2026, 8:11 a.m. |
| PD | Predicate disambiguation | batch_69abdd00b65c8190a8ea444308c4fa2b |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:57 p.m.