Triple

T21590647
Position Surface form Disambiguated ID Type / Status
Subject Madinan codex order E532768 entity
Predicate ordersSurahsPrimarilyBy P144065 FINISHED
Object approximate decreasing length after al-Fātiḥa 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: approximate decreasing length after al-Fātiḥa | Statement: [Madinan codex order, ordersSurahsPrimarilyBy, approximate decreasing length after al-Fātiḥa]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ordersSurahsPrimarilyBy
Context triple: [Madinan codex order, ordersSurahsPrimarilyBy, approximate decreasing length after al-Fātiḥa]
  • A. quranicSurah
    Indicates that one entity is a chapter (surah) of the Quran associated with or identified by the other entity.
  • B. includeSurah
    Indicates that one entity (such as a collection, book, or document) contains or incorporates a specific Surah as part of its contents.
  • C. numberOfSurahs
    Indicates the total count of surahs associated with a given entity (such as a text, section, or collection).
  • D. commandInSurah
    Indicates that a particular command or directive appears within a specified surah (chapter) of the Quran.
  • E. quranSurahNumber
    Indicates the numerical position or identifier assigned to a specific surah (chapter) within 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_69e0c46251648190876f0427cf2d321b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eefadd0ec88190929c76137bd1603e completed April 27, 2026, 5:57 a.m.
PD Predicate disambiguation batch_69e632109d048190b4ac3f14fe48d1a0 completed April 20, 2026, 2:02 p.m.
PDg Predicate description generation batch_69e63384a8fc819084c596bb53a3a1db completed April 20, 2026, 2:09 p.m.
Created at: April 16, 2026, 6:32 p.m.