Triple

T6517370
Position Surface form Disambiguated ID Type / Status
Subject Alif Lam Mim E148298 entity
Predicate positionInVerse P71344 FINISHED
Object first characters of the first verse where they occur 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: first characters of the first verse where they occur | Statement: [Alif Lam Mim, positionInVerse, first characters of the first verse where they occur]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: positionInVerse
Context triple: [Alif Lam Mim, positionInVerse, first characters of the first verse where they occur]
  • A. positionInBible
    Indicates the specific location or order of a passage, verse, or book within the structured sequence of the Bible.
  • B. positionOnLine
    Indicates that one entity occupies a specific location along a defined line or linear path in relation to another.
  • C. containsVerse
    Indicates that one entity (typically a text or collection) includes a specific verse as part of its content.
  • D. verseNumber
    Indicates the specific numbered position of a verse within an ordered sequence, such as in a chapter, song, or poem.
  • E. positionInMushaf
    Indicates the specific location or ordering of a text segment within the physical or canonical arrangement of the Mushaf (written Qur’an).
  • 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_69c687e68e748190baceb9298f32d3ed completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ac0ece2081909c14accef90efd7c completed March 27, 2026, 4:10 p.m.
PD Predicate disambiguation batch_69c68ab98c78819081743e614df04e1d completed March 27, 2026, 1:48 p.m.
PDg Predicate description generation batch_69c69f362ee4819090e8fa48caef7d7d completed March 27, 2026, 3:16 p.m.
Created at: March 27, 2026, 1:44 p.m.