Triple

T2777052
Position Surface form Disambiguated ID Type / Status
Subject Surah An-Nazi'at E61597 entity
Predicate name P16 FINISHED
Object An-Nazi'at
An-Nazi'at is the 79th chapter of the Qur'an, known for its vivid depiction of the Day of Resurrection and the fate of past nations.
 E296970 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: An-Nazi'at | Statement: [Surah An-Nazi'at, name, An-Nazi'at]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: An-Nazi'at
Context triple: [Surah An-Nazi'at, name, An-Nazi'at]
  • A. Nukat-us-Shuara
    Nukat-us-Shuara is a biographical and critical anthology of poets compiled by the renowned Urdu poet Mir Taqi Mir.
  • B. Nzaman
    Nzaman is a dialect of the Fang language spoken by Fang communities in Central Africa.
  • C. Nutuk
    Nutuk is a monumental speech and historical account delivered by Mustafa Kemal Atatürk in 1927, detailing the Turkish War of Independence and the founding of the Republic of Turkey.
  • D. Nirtzah
    Nirtzah is the concluding section of the Passover Haggadah, featuring songs, prayers, and expressions of hope for future redemption.
  • E. Afif
    Afif is a town in central Saudi Arabia known as an inland community within the Riyadh administrative region.
  • 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: An-Nazi'at
Triple: [Surah An-Nazi'at, name, An-Nazi'at]
Generated description
An-Nazi'at is the 79th chapter of the Qur'an, known for its vivid depiction of the Day of Resurrection and the fate of past nations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: An-Nazi'at
Target entity description: An-Nazi'at is the 79th chapter of the Qur'an, known for its vivid depiction of the Day of Resurrection and the fate of past nations.
  • A. Nukat-us-Shuara
    Nukat-us-Shuara is a biographical and critical anthology of poets compiled by the renowned Urdu poet Mir Taqi Mir.
  • B. Nzaman
    Nzaman is a dialect of the Fang language spoken by Fang communities in Central Africa.
  • C. Nutuk
    Nutuk is a monumental speech and historical account delivered by Mustafa Kemal Atatürk in 1927, detailing the Turkish War of Independence and the founding of the Republic of Turkey.
  • D. Nirtzah
    Nirtzah is the concluding section of the Passover Haggadah, featuring songs, prayers, and expressions of hope for future redemption.
  • E. Afif
    Afif is a town in central Saudi Arabia known as an inland community within the Riyadh administrative region.
  • 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_69ab4b7e43c48190997b8fc8fb1663ab completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd82a864819082bd1181a16d5208 completed March 7, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc05adf908190bd16bbb6f8ea213a completed March 10, 2026, 6:55 a.m.
NEDg Description generation batch_69afc0d32d5881908b80e0bfca5cd873 completed March 10, 2026, 6:57 a.m.
NED2 Entity disambiguation (via description) batch_69afc133f8088190bd505db0d0d1d6f7 completed March 10, 2026, 6:59 a.m.
Created at: March 6, 2026, 9:57 p.m.