Triple
T26757409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prophet Moses in Islam |
E674709
|
entity |
| Predicate | narrativeEmphasizedInSurah |
P114772
|
FINISHED |
| Object | Surah Ta-Ha |
—
|
NE NERFINISHED |
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: Surah Ta-Ha | Statement: [Prophet Moses in Islam, narrativeEmphasizedInSurah, Surah Ta-Ha]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: narrativeEmphasizedInSurah Context triple: [Prophet Moses in Islam, narrativeEmphasizedInSurah, Surah Ta-Ha]
-
A.
subjectOfSurah
chosen
Indicates that an entity is the main topic, theme, or focus discussed within a specific surah (chapter) of the Quran.
-
B.
occursInSurah
Indicates that something (such as a verse, concept, or event) takes place within or is contained in a specific surah.
-
C.
quranicContext
Indicates that something is situated within, derived from, or directly related to the textual, historical, or thematic context of the Quran.
-
D.
emphasizesAttributeOfAllah
Indicates that something highlights, underscores, or draws special attention to a particular attribute or quality of Allah.
-
E.
includeSurah
Indicates that one entity (such as a collection, book, or document) contains or incorporates a specific Surah as part of its contents.
- 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_69eecda6e9dc81908452fab3ba17ed9b |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f661b58ac48190907b6c6e9ccc2c59 |
completed | May 2, 2026, 8:42 p.m. |
| PD | Predicate disambiguation | batch_69f660eea4648190b0d5e24293607813 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 27, 2026, 3:56 a.m.