Triple
T5629067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DialogueWithChristiansOfNajran |
E147790
|
entity |
| Predicate | quranicBasis |
P17618
|
FINISHED |
| Object | Qur’an 3:59–61 |
—
|
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: Qur’an 3:59–61 | Statement: [DialogueWithChristiansOfNajran, quranicBasis, Qur’an 3:59–61]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: quranicBasis Context triple: [DialogueWithChristiansOfNajran, quranicBasis, Qur’an 3:59–61]
-
A.
basedOnHadith
Indicates that something is derived from, supported by, or directly referencing a specific hadith.
-
B.
quranicStatus
Indicates the status or classification of something in relation to its recognition, treatment, or role within the Quran.
-
C.
interpretationInIslam
Indicates the religious understanding, explanation, or doctrinal meaning of something specifically within the framework of Islamic belief and scholarship.
-
D.
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.
-
E.
quranSection
Indicates that one entity is a section, passage, or subdivided part of the Quran associated with 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_69c00907bc8881909ed760d3ed73ef35 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0223b1e54819099fe5fc84ed17a88 |
completed | March 22, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69c01b1d4b108190846ce586dc783acf |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:40 p.m.