Triple

T3039744
Position Surface form Disambiguated ID Type / Status
Subject Sidrat al-Muntaha E83095 entity
Predicate viewInClassicalTafsir P39675 FINISHED
Object a specific lote tree in the seventh heaven 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: a specific lote tree in the seventh heaven | Statement: [Sidrat al-Muntaha, viewInClassicalTafsir, a specific lote tree in the seventh heaven]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: viewInClassicalTafsir
Context triple: [Sidrat al-Muntaha, viewInClassicalTafsir, a specific lote tree in the seventh heaven]
  • A. viewOnHadith
    Indicates a relationship where an entity holds a particular interpretive stance, opinion, or evaluative perspective regarding a specific hadith.
  • B. quranicVerse
    Indicates that a given text segment is a verse from the Quran and encodes the relationship between that verse and its source scripture.
  • C. majorFiqhText
    Indicates that a work is recognized as a primary or foundational text within the field of Islamic jurisprudence (fiqh).
  • D. quranSection
    Indicates that one entity is a section, passage, or subdivided part of the Quran associated with another entity.
  • E. hasTraditionalInterpretation chosen
    Indicates that something is associated with or understood according to a long-established or customary interpretation.
  • 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_69ad8b2298908190a7cb4e9bdbf064d0 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9b2fa52c8190a7860f762d5232ab completed March 8, 2026, 3:52 p.m.
PD Predicate disambiguation batch_69ad961fc62c819087c4c3a44b00847d completed March 8, 2026, 3:30 p.m.
Created at: March 8, 2026, 3:01 p.m.