Triple
T34610678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | wivesOfProphetMuhammad |
E888721
|
entity |
| Predicate | QuranicTitle |
P75733
|
FINISHED |
| Object | MothersOfTheBelievers |
—
|
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: MothersOfTheBelievers | Statement: [wivesOfProphetMuhammad, QuranicTitle, MothersOfTheBelievers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: QuranicTitle Context triple: [wivesOfProphetMuhammad, QuranicTitle, MothersOfTheBelievers]
-
A.
titleInQuran
chosen
Indicates that a given title or designation is explicitly mentioned in the Quran.
-
B.
titleInArabicScript
Indicates that an entity’s title is represented in Arabic script.
-
C.
quranSurahAlternateName
Indicates that a particular name is an alternate or secondary title used to refer to a specific surah of the Quran.
-
D.
titleInArabic
Indicates that an entity’s title is expressed in the Arabic language.
-
E.
subjectOfSurah
Indicates that an entity is the main topic, theme, or focus discussed within a specific surah (chapter) of the Quran.
- 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_69f349d584e08190b40b9f6281ad50c4 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7234bcaa48190ac970759d34e254a |
completed | May 3, 2026, 10:28 a.m. |
| PD | Predicate disambiguation | batch_69f72155c48881909bd40b9aa3febd5a |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 2:03 a.m.