Triple
T25787325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Arba'in al-Nawawiyya |
E649454
|
entity |
| Predicate | hadith26Theme |
P168040
|
FINISHED |
| Object | every joint must give charity |
—
|
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: every joint must give charity | Statement: [Al-Arba'in al-Nawawiyya, hadith26Theme, every joint must give charity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadith26Theme Context triple: [Al-Arba'in al-Nawawiyya, hadith26Theme, every joint must give charity]
-
A.
hadith20Theme
Indicates that a hadith is associated with a particular theme, topic, or subject category.
-
B.
hadith22Theme
Indicates that a hadith is associated with a particular theme or subject matter.
-
C.
hadith25Theme
Indicates that a hadith is associated with a particular theme or subject matter.
-
D.
hadith23Theme
Indicates that a hadith is associated with, or centers around, a particular theme or subject matter.
-
E.
hadith6Theme
Indicates that a hadith is associated with a particular thematic category 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_69f673633d288190b52ceb9f8a057c44 |
completed | May 2, 2026, 9:57 p.m. |
| PD | Predicate disambiguation | batch_69f66ec3d3d48190ab2f2b71939e572e |
completed | May 2, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69f67256d064819094be04fc1bbbc635 |
completed | May 2, 2026, 9:53 p.m. |
Created at: April 22, 2026, 5:56 a.m.