Triple
T8653815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paradise (Islam) |
E205161
|
entity |
| Predicate | quranicTermCategory |
P39732
|
FINISHED |
| Object | ghayb (unseen) |
—
|
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: ghayb (unseen) | Statement: [Paradise (Islam), quranicTermCategory, ghayb (unseen)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: quranicTermCategory Context triple: [Paradise (Islam), quranicTermCategory, ghayb (unseen)]
-
A.
quranicPhrase
Indicates that one entity is a phrase or expression that appears in, or is directly derived from, the Quran.
-
B.
themeInQuran
Indicates that a particular theme, concept, or topic is present in and addressed by the Quran.
-
C.
quranicDescription
Indicates that one entity is described, characterized, or referenced within the text of the Quran in relation to another entity.
-
D.
quranSection
Indicates that one entity is a section, passage, or subdivided part of the Quran associated with another entity.
-
E.
classificationTerm
chosen
Indicates that one entity serves as a categorical label or type used to classify or group 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_69ca834e56848190abb0eeaec9dedd32 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc48432568819093b9a867b4f62b78 |
completed | March 31, 2026, 10:18 p.m. |
| PD | Predicate disambiguation | batch_69cc45619460819091e83ffdec99c865 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:29 p.m.