Triple

T7402086
Position Surface form Disambiguated ID Type / Status
Subject سورة براءة E170772 entity
Predicate hasName P744 FINISHED
Object المقشقشة
المقشقشة هو أحد الأسماء الواردة في التراث الإسلامي لسورة التوبة في القرآن الكريم، لما فيها من تبرئة وتمييز بين المؤمنين والمنافقين.
E661772 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: المقشقشة | Statement: [سورة براءة, hasName, المقشقشة]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: المقشقشة
Context triple: [سورة براءة, hasName, المقشقشة]
  • A. Musca
    Musca is a small southern constellation representing a fly, located near the Southern Cross in the southern sky.
  • B. Pulga
    Pulga is a small, scenic village in Himachal Pradesh, India, known for its tranquil Himalayan setting and popularity among trekkers and backpackers.
  • C. Mouche
    Mouche is a central female character in Alejo Carpentier’s novel "Los pasos perdidos," representing modern, urban life and contrasting with the protagonist’s search for origins and authenticity.
  • D. Muscardin
    Muscardin is a rare, light-colored red grape variety from France’s Rhône Valley, known for contributing floral aromas, high acidity, and finesse to Southern Rhône blends.
  • E. Moschiola
    Moschiola is a genus of small, spotted chevrotains (mouse-deer) native to South and Southeast Asia.
  • 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: المقشقشة
Triple: [سورة براءة, hasName, المقشقشة]
Generated description
المقشقشة هو أحد الأسماء الواردة في التراث الإسلامي لسورة التوبة في القرآن الكريم، لما فيها من تبرئة وتمييز بين المؤمنين والمنافقين.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: المقشقشة
Target entity description: المقشقشة هو أحد الأسماء الواردة في التراث الإسلامي لسورة التوبة في القرآن الكريم، لما فيها من تبرئة وتمييز بين المؤمنين والمنافقين.
  • A. Musca
    Musca is a small southern constellation representing a fly, located near the Southern Cross in the southern sky.
  • B. Pulga
    Pulga is a small, scenic village in Himachal Pradesh, India, known for its tranquil Himalayan setting and popularity among trekkers and backpackers.
  • C. Mouche
    Mouche is a central female character in Alejo Carpentier’s novel "Los pasos perdidos," representing modern, urban life and contrasting with the protagonist’s search for origins and authenticity.
  • D. Muscardin
    Muscardin is a rare, light-colored red grape variety from France’s Rhône Valley, known for contributing floral aromas, high acidity, and finesse to Southern Rhône blends.
  • E. Moschiola
    Moschiola is a genus of small, spotted chevrotains (mouse-deer) native to South and Southeast Asia.
  • 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_69c68a5f04188190ac266569c9280347 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f26d6d6081909c7272a9ccae0d97 completed March 27, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81110d7648190a8938db7061be454 completed March 28, 2026, 5:34 p.m.
NEDg Description generation batch_69c812b0b534819095dd2ae63ca7b2d0 completed March 28, 2026, 5:41 p.m.
NED2 Entity disambiguation (via description) batch_69c8147b3f3c8190ada85c9e37bf5e2b completed March 28, 2026, 5:48 p.m.
Created at: March 27, 2026, 3:10 p.m.