Triple

T1728264
Position Surface form Disambiguated ID Type / Status
Subject Surah An-Naml E37547 entity
Predicate prostrationVerseNumber P27929 FINISHED
Object 26:15 or 27:26 depending on numbering conventions 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: 26:15 or 27:26 depending on numbering conventions | Statement: [Surah An-Naml, prostrationVerseNumber, 26:15 or 27:26 depending on numbering conventions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: prostrationVerseNumber
Context triple: [Surah An-Naml, prostrationVerseNumber, 26:15 or 27:26 depending on numbering conventions]
  • A. containsProstrationVerse
    Indicates that a text or passage includes at least one verse that requires or is associated with performing a prostration.
  • B. sajdahVerseNumber chosen
    Indicates the verse number in a chapter at which a prostration (sajdah) is prescribed or occurs.
  • C. quranicVerse
    Indicates that a given text segment is a verse from the Quran and encodes the relationship between that verse and its source scripture.
  • D. quranicSurah
    Indicates that one entity is a chapter (surah) of the Quran associated with or identified by the other entity.
  • E. positionInBible
    Indicates the specific location or order of a passage, verse, or book within the structured sequence of the Bible.
  • 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_69a8861acab88190bb43cde203429399 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aadb7bda1081908f2c41c520c9c55c completed March 6, 2026, 1:49 p.m.
PD Predicate disambiguation batch_69aa61c0a0288190bce9d60062a84b69 completed March 6, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:30 p.m.