Triple

T2355322
Position Surface form Disambiguated ID Type / Status
Subject Surah Qaf E47539 entity
Predicate name P16 FINISHED
Object Qaf
Qaf is the 50th chapter of the Qur'an, known for its powerful themes of resurrection, accountability, and the Day of Judgment.
 E257198 NE FINISHED

How this triple was built (4 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: Qaf | Statement: [Surah Qaf, name, Qaf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Qaf
Context triple: [Surah Qaf, name, Qaf]
  • A. Zayin
    Zayin is the seventh letter of the Hebrew alphabet, traditionally associated with the "z" sound and rich symbolic meanings in Jewish mysticism and scripture.
  • B. Qafar
    Qafar is another name for the Afar people, a Cushitic ethnic group primarily inhabiting the Horn of Africa, especially in Ethiopia, Eritrea, and Djibouti.
  • C. Gimel
    Gimel is the third letter of the Hebrew alphabet, traditionally associated with the "g" sound and rich symbolic meanings in Jewish mysticism and tradition.
  • D. Lamed
    Lamed is the twelfth letter of the Hebrew alphabet, corresponding to the "L" sound and often associated with learning and teaching in Jewish tradition.
  • E. Alif
    Alif is one of the official mascots of Expo 2020 Dubai, represented as a futuristic robot embodying innovation and mobility.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Qaf
Triple: [Surah Qaf, name, Qaf]
Generated description
Qaf is the 50th chapter of the Qur'an, known for its powerful themes of resurrection, accountability, and the Day of Judgment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Qaf
Target entity description: Qaf is the 50th chapter of the Qur'an, known for its powerful themes of resurrection, accountability, and the Day of Judgment.
  • A. Zayin
    Zayin is the seventh letter of the Hebrew alphabet, traditionally associated with the "z" sound and rich symbolic meanings in Jewish mysticism and scripture.
  • B. Qafar
    Qafar is another name for the Afar people, a Cushitic ethnic group primarily inhabiting the Horn of Africa, especially in Ethiopia, Eritrea, and Djibouti.
  • C. Gimel
    Gimel is the third letter of the Hebrew alphabet, traditionally associated with the "g" sound and rich symbolic meanings in Jewish mysticism and tradition.
  • D. Lamed
    Lamed is the twelfth letter of the Hebrew alphabet, corresponding to the "L" sound and often associated with learning and teaching in Jewish tradition.
  • E. Alif
    Alif is one of the official mascots of Expo 2020 Dubai, represented as a futuristic robot embodying innovation and mobility.
  • F. None of above. chosen

Provenance (5 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_69a88a1b678c8190bce986922ba60ce0 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc6fd4e488190b763a1c9b5d18f2c completed March 7, 2026, 6:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae963660108190b58f3288a5b3f96e completed March 9, 2026, 9:43 a.m.
NEDg Description generation batch_69ae96b4b378819094853d3503a3b8b4 completed March 9, 2026, 9:45 a.m.
NED2 Entity disambiguation (via description) batch_69ae970a87a4819094e33d3b6347a9b5 completed March 9, 2026, 9:46 a.m.
Created at: March 4, 2026, 7:54 p.m.