Triple
T32752094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | غافر |
E837524
|
entity |
| Predicate | quranicVerseExample |
P71465
|
FINISHED |
| Object | غَافِرِ الذَّنْبِ وَقَابِلِ التَّوْبِ شَدِيدِ الْعِقَابِ |
—
|
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: غَافِرِ الذَّنْبِ وَقَابِلِ التَّوْبِ شَدِيدِ الْعِقَابِ | Statement: [غافر, quranicVerseExample, غَافِرِ الذَّنْبِ وَقَابِلِ التَّوْبِ شَدِيدِ الْعِقَابِ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: quranicVerseExample Context triple: [غافر, quranicVerseExample, غَافِرِ الذَّنْبِ وَقَابِلِ التَّوْبِ شَدِيدِ الْعِقَابِ]
-
A.
quranicVerse
Indicates that a given text segment is a verse from the Quran and encodes the relationship between that verse and its source scripture.
-
B.
quranicPhrase
chosen
Indicates that one entity is a phrase or expression that appears in, or is directly derived from, the Quran.
-
C.
quranSection
Indicates that one entity is a section, passage, or subdivided part of the Quran associated with another entity.
-
D.
commandInSurah
Indicates that a particular command or directive appears within a specified surah (chapter) of the Quran.
-
E.
quranManzil
Indicates a relationship where a portion of the Quran is assigned or associated as a specific “manzil” (section) for recitation or division purposes.
- 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_69f34937f97c8190b7f84bea045df3ae |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6cd126fcc8190aa1f1f146e45ec0c |
completed | May 3, 2026, 4:20 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1470808190b70cdfd7a6395670 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 1:12 a.m.