Triple
T9549696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dhul-Kifl |
E230386
|
entity |
| Predicate | roleInIslamicTeaching |
P89742
|
FINISHED |
| Object | model of patience |
—
|
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: model of patience | Statement: [Dhul-Kifl, roleInIslamicTeaching, model of patience]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInIslamicTeaching Context triple: [Dhul-Kifl, roleInIslamicTeaching, model of patience]
-
A.
roleInIslamicLaw
Indicates the specific function, status, or authority an entity holds within the framework of Islamic legal principles and institutions.
-
B.
roleInIslamicHistory
Indicates the specific function, status, or contribution an entity has within the context of Islamic historical events, periods, or developments.
-
C.
roleInQuranHistory
Indicates a relationship where an entity holds or plays a specific role within the historical events, narratives, or context presented in the Quran.
-
D.
roleInHadith
Indicates the specific function, position, or participation an entity has within the context or transmission of a hadith.
-
E.
religiousTextRole
Indicates the specific role or function that a religious text has in relation to a person, group, practice, or tradition.
- F. None of above. chosen
Provenance (4 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_69ca847d3be8819099c9dad2a7e786f1 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9906bc90819086f105c453e63c83 |
completed | April 1, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69ccd58bd21881908b860e3ee469af13 |
completed | April 1, 2026, 8:21 a.m. |
| PDg | Predicate description generation | batch_69ccd93e90048190a2b0d7c5c195ba98 |
completed | April 1, 2026, 8:37 a.m. |
Created at: March 30, 2026, 8:02 p.m.