Triple
T34754700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | al-muqarrabun |
E1001884
|
entity |
| Predicate | quranicCategoryOfPeople |
P175747
|
FINISHED |
| Object | people of the right hand |
—
|
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: people of the right hand | Statement: [al-muqarrabun, quranicCategoryOfPeople, people of the right hand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: quranicCategoryOfPeople Context triple: [al-muqarrabun, quranicCategoryOfPeople, people of the right hand]
-
A.
roleInQuranHistory
Indicates a relationship where an entity holds or plays a specific role within the historical events, narratives, or context presented in the Quran.
-
B.
quranicTermType
chosen
Indicates the classification relationship that specifies what type or category a given Qur'anic term belongs to.
-
C.
roleInShiaPiety
Indicates the specific function, status, or significance an entity holds within Shia religious devotion, practice, or theological understanding.
-
D.
hadithCategory
Indicates that a hadith is classified under a particular category or type within hadith literature.
-
E.
roleInIslamicLaw
Indicates the specific function, status, or authority an entity holds within the framework of Islamic legal principles and institutions.
- 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_69f76db0fb30819096709d43f9a1f45f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77ffa6b68819090257fed3802c239 |
completed | May 3, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69f7795978c481909e152cd1bd02dd07 |
completed | May 3, 2026, 4:35 p.m. |
Created at: May 3, 2026, 3:59 p.m.