Triple
T1728272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surah An-Naml |
E37547
|
entity |
| Predicate | keyVerseTheme |
P15334
|
FINISHED |
| Object | knowledge and wisdom granted to prophets |
—
|
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: knowledge and wisdom granted to prophets | Statement: [Surah An-Naml, keyVerseTheme, knowledge and wisdom granted to prophets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: keyVerseTheme Context triple: [Surah An-Naml, keyVerseTheme, knowledge and wisdom granted to prophets]
-
A.
keyVerse
chosen
Indicates that one verse is designated as the central or most thematically important verse in relation to a text, passage, or concept.
-
B.
scripturalTheme
Indicates that one entity represents a central religious or theological theme expressed, discussed, or emphasized within a scriptural text or passage.
-
C.
openingVerseTheme
Indicates the primary idea or motif expressed in the opening verse of a text, song, or poem.
-
D.
scriptureFocus
Indicates that something centers on, emphasizes, or is primarily concerned with religious scripture or sacred texts.
-
E.
scriptureAllusion
Indicates that one entity makes reference to, echoes, or is inspired by a passage, theme, or element from a scriptural text found in another entity.
- 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_69a8861acab88190bb43cde203429399 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aadb7bda1081908f2c41c520c9c55c |
completed | March 6, 2026, 1:49 p.m. |
| PD | Predicate disambiguation | batch_69aa61c0a0288190bce9d60062a84b69 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:30 p.m.