Triple
T1728266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surah An-Naml |
E37547
|
entity |
| Predicate | traditionalRevelationOrder |
P6837
|
FINISHED |
| Object | 48 |
—
|
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: 48 | Statement: [Surah An-Naml, traditionalRevelationOrder, 48]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalRevelationOrder Context triple: [Surah An-Naml, traditionalRevelationOrder, 48]
-
A.
scripturalOrder
Indicates that one entity precedes another according to the sequence or arrangement prescribed in a scriptural or sacred text.
-
B.
revelationScripture
Indicates that a scripture is the medium or content through which a revelation is communicated or expressed.
-
C.
inChristianCanonOrder
Indicates that the entities are arranged according to the sequence used in the Christian biblical canon.
-
D.
revelationAngel
Indicates that an angel is the one who delivers or mediates a divine revelation to someone or about something.
-
E.
traditionalOrder
chosen
Indicates that entities are arranged or occur according to a customary, historically established sequence or hierarchy.
- 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.