Triple
T23995947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | المائدة |
E605188
|
entity |
| Predicate | من أسماء سور |
P75743
|
FINISHED |
| Object | القرآن المدني الطويلة |
—
|
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: القرآن المدني الطويلة | Statement: [المائدة, من أسماء سور, القرآن المدني الطويلة]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: من أسماء سور Context triple: [المائدة, من أسماء سور, القرآن المدني الطويلة]
-
A.
subjectOfSurah
Indicates that an entity is the main topic, theme, or focus discussed within a specific surah (chapter) of the Quran.
-
B.
لغة السورة
Indicates the language in which a given surah (chapter of the Qur’an) is expressed or written.
-
C.
عدد السجدات
Indicates the number of prostrations performed in a given prayer or worship context.
-
D.
quranSurahAlternateName
chosen
Indicates that a particular name is an alternate or secondary title used to refer to a specific surah of the Quran.
-
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_69e295463f7c8190b1c19dbd114641b9 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d38f8a208190a293c64b9c9202c0 |
completed | April 29, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69f1615994c48190a5de95d3f7e5cd0a |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:38 p.m.