Triple
T25787305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Arba'in al-Nawawiyya |
E649454
|
entity |
| Predicate | hadith5Theme |
P159819
|
FINISHED |
| Object | innovations in religion |
—
|
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: innovations in religion | Statement: [Al-Arba'in al-Nawawiyya, hadith5Theme, innovations in religion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadith5Theme Context triple: [Al-Arba'in al-Nawawiyya, hadith5Theme, innovations in religion]
-
A.
hadith1Theme
Indicates that a hadith is primarily about or centered on a particular theme or subject matter.
-
B.
hadith3Theme
chosen
Indicates that a hadith is associated with a particular thematic category or subject.
-
C.
themeInQuran
Indicates that a particular theme, concept, or topic is present in and addressed by the Quran.
-
D.
hadithCategory
Indicates that a hadith is classified under a particular category or type within hadith literature.
-
E.
hadithCollections
Indicates a relationship where one entity is a collection that contains, organizes, or compiles hadiths (reports of the sayings, actions, or approvals of the Prophet).
- 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_69e7ab33e9308190afe415dc6f9e8876 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f603bb02288190b40cedbed5b9651d |
completed | May 2, 2026, 2:01 p.m. |
| PD | Predicate disambiguation | batch_69f602d07590819085ac34b189613104 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 22, 2026, 5:56 a.m.