Triple
T33694474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sabians |
E863265
|
entity |
| Predicate | quranVerse |
P17618
|
FINISHED |
| Object | Quran 2:62 |
—
|
NE NERFINISHED |
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: Quran 2:62 | Statement: [Sabians, quranVerse, Quran 2:62]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: quranVerse Context triple: [Sabians, quranVerse, Quran 2:62]
-
A.
quranicVerse
chosen
Indicates that a given text segment is a verse from the Quran and encodes the relationship between that verse and its source scripture.
-
B.
quranManzil
Indicates a relationship where a portion of the Quran is assigned or associated as a specific “manzil” (section) for recitation or division purposes.
-
C.
quranSection
Indicates that one entity is a section, passage, or subdivided part of the Quran associated with another entity.
-
D.
quranicPhrase
Indicates that one entity is a phrase or expression that appears in, or is directly derived from, the Quran.
-
E.
commandInSurah
Indicates that a particular command or directive appears within a specified surah (chapter) of the Quran.
- 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_69f3498723a08190ac034339cc78eade |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70b966860819089cf92927f47c5f1 |
completed | May 3, 2026, 8:47 a.m. |
| PD | Predicate disambiguation | batch_69f70abe43e08190b2a30930d96247c1 |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:43 a.m.