Triple
T33663363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Companions of the Right |
E862414
|
entity |
| Predicate | quranicLanguage |
P175747
|
FINISHED |
| Object | classificatory term for human beings in the afterlife |
—
|
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: classificatory term for human beings in the afterlife | Statement: [Companions of the Right, quranicLanguage, classificatory term for human beings in the afterlife]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: quranicLanguage Context triple: [Companions of the Right, quranicLanguage, classificatory term for human beings in the afterlife]
-
A.
quranicContext
Indicates that something is situated within, derived from, or directly related to the textual, historical, or thematic context of the Quran.
-
B.
quranicPhrase
Indicates that one entity is a phrase or expression that appears in, or is directly derived from, the Quran.
-
C.
hasQuranicEquivalent
Indicates that something has a corresponding or analogous concept, term, or passage found in the Quran.
-
D.
quranicTermType
chosen
Indicates the classification relationship that specifies what type or category a given Qur'anic term belongs to.
-
E.
verseTextArabic
Indicates the Arabic-language text content associated with a specific verse in a scriptural or poetic work.
- 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_69f34984c4008190bb82f33a7819da64 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc5740fc81909774a4f65201a3ff |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:42 a.m.