Triple
T5628937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Family of Imran |
E147787
|
entity |
| Predicate | isMadinanSurah |
P65515
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [The Family of Imran, isMadinanSurah, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMadinanSurah Context triple: [The Family of Imran, isMadinanSurah, true]
-
A.
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.
-
B.
containsMadaniVerses
Indicates that the subject includes or is composed of verses classified as Madani (revealed in Medina).
-
C.
containsMakkiVerses
Indicates that something (typically a chapter or section of a text) includes one or more verses that are classified as Makki (revealed in Mecca).
-
D.
commandInSurah
Indicates that a particular command or directive appears within a specified surah (chapter) of the Quran.
-
E.
isLongestSurahInQuran
Indicates that the subject is the surah that has the greatest length (in verses) among all surahs in the Quran.
- 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_69c00907bc8881909ed760d3ed73ef35 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0223b1e54819099fe5fc84ed17a88 |
completed | March 22, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69c01b1d4b108190846ce586dc783acf |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f40df64819089a659ea00a835ef |
completed | March 22, 2026, 4:56 p.m. |
Created at: March 22, 2026, 3:40 p.m.