Triple

T11496942
Position Surface form Disambiguated ID Type / Status
Subject Musabbihat surahs E272557 entity
Predicate hasQuranicPosition P50394 FINISHED
Object found mainly in the later Madinan portion of the Quran 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: found mainly in the later Madinan portion of the Quran | Statement: [Musabbihat surahs, hasQuranicPosition, found mainly in the later Madinan portion of the Quran]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasQuranicPosition
Context triple: [Musabbihat surahs, hasQuranicPosition, found mainly in the later Madinan portion of the Quran]
  • A. quranPosition chosen
    Indicates the specific location or ordering of a referenced element within the text or structure of the Quran.
  • B. hasQuranicVerseReference
    Indicates that an entity is associated with, or refers to, a specific verse or verses from the Quran.
  • C. quranicStatus
    Indicates the status or classification of something in relation to its recognition, treatment, or role within the Quran.
  • D. positionInMushaf
    Indicates the specific location or ordering of a text segment within the physical or canonical arrangement of the Mushaf (written Qur’an).
  • E. hasQuranicDescription
    Indicates that there exists a description or characterization of the subject that is explicitly given or referenced in the Quran.
  • 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_69d6aae1b09881909ce2ded3fa0c14fa completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85de183f08190abfa36eaabc61dc6 completed April 10, 2026, 2:18 a.m.
PD Predicate disambiguation batch_69d808736c5c8190899b5b3b2e797f65 completed April 9, 2026, 8:13 p.m.
Created at: April 8, 2026, 9:36 p.m.