Triple
T8939308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luqman |
E212856
|
entity |
| Predicate | statusInIslamicExegesis |
P27136
|
FINISHED |
| Object | righteous man |
—
|
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: righteous man | Statement: [Luqman, statusInIslamicExegesis, righteous man]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusInIslamicExegesis Context triple: [Luqman, statusInIslamicExegesis, righteous man]
-
A.
statusInIslamicTradition
chosen
Indicates the recognized standing, role, or level of esteem an entity holds within Islamic religious, cultural, or scholarly tradition.
-
B.
statusInHadith
Indicates the classification or standing of a hadith (such as authentic, weak, or fabricated) within hadith scholarship.
-
C.
interpretationInIslam
Indicates the religious understanding, explanation, or doctrinal meaning of something specifically within the framework of Islamic belief and scholarship.
-
D.
hadithStatus
Indicates the classification or evaluation of a hadith’s authenticity or reliability within a given scholarly or doctrinal framework.
-
E.
statusInMalikiSchool
Indicates the legal or doctrinal status of something according to the Maliki school of Islamic jurisprudence.
- 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_69ca839694c88190b324ffeb43d23b08 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66b7484481909e0d7610552f5386 |
completed | April 1, 2026, 12:28 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed5267c8190a43feb2a2f3df1ec |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 6:58 p.m.