Triple
T37379948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quran 60:10 |
E928405
|
entity |
| Predicate | englishNameOfSurah |
P188011
|
FINISHED |
| Object | Al-Mumtahanah |
—
|
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: Al-Mumtahanah | Statement: [Quran 60:10, englishNameOfSurah, Al-Mumtahanah]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: englishNameOfSurah Context triple: [Quran 60:10, englishNameOfSurah, Al-Mumtahanah]
-
A.
quranSurahAlternateName
Indicates that a particular name is an alternate or secondary title used to refer to a specific surah of the Quran.
-
B.
subjectOfSurah
Indicates that an entity is the main topic, theme, or focus discussed within a specific surah (chapter) of the Quran.
-
C.
quranicSurah
Indicates that one entity is a chapter (surah) of the Quran associated with or identified by the other entity.
-
D.
surahApproximateOrderOfRevelation
Indicates the approximate chronological order in which a given surah was revealed relative to other surahs.
-
E.
rukūʿNumberInSurah
Indicates the number or position of a specific rukūʿ (section of verses) within a given surah.
- 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_69f76eb9e66881908534cf22d04c3b5a |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb9e1845e881908d19158440cf3b87 |
completed | May 6, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_69fb8d08d6988190a00794ac26078348 |
completed | May 6, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69fb9e173f348190b7ab5935e4dca039 |
completed | May 6, 2026, 8:01 p.m. |
Created at: May 3, 2026, 4:16 p.m.