Triple
T26309293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | المبعثرة |
E661774
|
entity |
| Predicate | hasPrimaryNameOfSurah |
P92006
|
FINISHED |
| Object | التوبة |
—
|
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: التوبة | Statement: [المبعثرة, hasPrimaryNameOfSurah, التوبة]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryNameOfSurah Context triple: [المبعثرة, hasPrimaryNameOfSurah, التوبة]
-
A.
englishNameOfSurah
Indicates that one entity is the English-language name or title corresponding to a given Surah.
-
B.
isMeccanSurah
Indicates that a given surah (chapter of the Qur’an) was revealed in Mecca (i.e., is classified as a Meccan surah) rather than in Medina.
-
C.
quranSurahAlternateName
Indicates that a particular name is an alternate or secondary title used to refer to a specific surah of the Quran.
-
D.
subjectOfSurah
Indicates that an entity is the main topic, theme, or focus discussed within a specific surah (chapter) of the Quran.
-
E.
hasPrimaryTitle
chosen
Indicates that an entity is associated with its main or official title, distinguishing it from any alternative or secondary titles.
- 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_69ee812dacfc81908484aade9120fba9 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69fbbc49da8c8190902bbb05d2477cab |
completed | May 6, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69fbb13f34b08190bbbb220ac1e6e666 |
completed | May 6, 2026, 9:23 p.m. |
Created at: April 26, 2026, 10:21 p.m.