Triple
T25787313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Arba'in al-Nawawiyya |
E649454
|
entity |
| Predicate | hadith13Theme |
P163701
|
FINISHED |
| Object | sanctity of blood, property, honor |
—
|
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: sanctity of blood, property, honor | Statement: [Al-Arba'in al-Nawawiyya, hadith13Theme, sanctity of blood, property, honor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadith13Theme Context triple: [Al-Arba'in al-Nawawiyya, hadith13Theme, sanctity of blood, property, honor]
-
A.
hadith12Theme
Indicates that a hadith is associated with a particular thematic category or subject.
-
B.
hadith3Theme
Indicates that a hadith is associated with a particular thematic category or subject.
-
C.
hadith11Theme
Indicates that a hadith is associated with a particular theme or subject matter.
-
D.
hadith1Theme
Indicates that a hadith is primarily about or centered on a particular theme or subject matter.
-
E.
hadith10Theme
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_69f6397b64f881909d811225e57aac5e |
completed | May 2, 2026, 5:50 p.m. |
| PD | Predicate disambiguation | batch_69f63706b6008190993577193c85ff50 |
completed | May 2, 2026, 5:40 p.m. |
| PDg | Predicate description generation | batch_69f638d029148190877c103f0eeaf147 |
completed | May 2, 2026, 5:48 p.m. |
Created at: April 22, 2026, 5:56 a.m.