Triple
T25787326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Arba'in al-Nawawiyya |
E649454
|
entity |
| Predicate | hadith27Theme |
P168545
|
FINISHED |
| Object | righteousness and sin |
—
|
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: righteousness and sin | Statement: [Al-Arba'in al-Nawawiyya, hadith27Theme, righteousness and sin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadith27Theme Context triple: [Al-Arba'in al-Nawawiyya, hadith27Theme, righteousness and sin]
-
A.
hadith26Theme
Indicates that something is identified as a central topic, subject, or thematic focus of Hadith 26.
-
B.
hadith20Theme
Indicates that a hadith is associated with a particular theme, topic, or subject category.
-
C.
hadith22Theme
Indicates that a hadith is associated with a particular theme or subject matter.
-
D.
hadith7Theme
Indicates that a hadith is associated with a particular theme or subject category.
-
E.
hadith25Theme
Indicates that a hadith is associated with a particular theme or subject matter.
- 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_69e7ab33e9308190afe415dc6f9e8876 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f67595fa7c8190b6e9f7a8c700dd97 |
completed | May 2, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69f673c2f81c8190bf369226306eef09 |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f674df80b08190adb7f7531083bbb1 |
completed | May 2, 2026, 10:04 p.m. |
Created at: April 22, 2026, 5:56 a.m.