Triple

T31002909
Position Surface form Disambiguated ID Type / Status
Subject سورة فصلت E789987 entity
Predicate تفتتح بالثناء على P169160 FINISHED
Object القرآن الكريم NE NERFINISHED

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: القرآن الكريم | Statement: [سورة فصلت, تفتتح بالثناء على, القرآن الكريم]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: تفتتح بالثناء على
Context triple: [سورة فصلت, تفتتح بالثناء على, القرآن الكريم]
  • A. تفتتح بالثناء على الله chosen
    Indicates that an action, statement, or text begins with praise of God.
  • B. تفتتح بالنداء
    Indicates that an utterance or text begins with a vocative call or address to someone.
  • C. تُفتتح بدون
    Indicates that something is opened or inaugurated without the presence, inclusion, or use of a specified person, thing, or condition.
  • D. openingVerseBy
    Indicates that a work’s opening verse is authored, performed, or otherwise created by the specified entity.
  • E. mởĐầuBằng
    Indicates that one entity begins or starts with another entity (e.g., a text, sequence, or event opens with a specified element).
  • 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_69f224c65a348190baaed1c01a29900c completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f6953bafb88190a860e9c68a3dd4b2 completed May 3, 2026, 12:22 a.m.
PD Predicate disambiguation batch_69f690ef92308190903a54fc74233269 completed May 3, 2026, 12:03 a.m.
Created at: April 29, 2026, 8:57 p.m.