Triple

T1822335
Position Surface form Disambiguated ID Type / Status
Subject Surah As-Saffat E40568 entity
Predicate name P16 FINISHED
Object الصافات
الصافات هي سورة مكية من سور القرآن الكريم تُعنى بتوحيد الله وبيان مصير المشركين والمؤمنين من خلال قصص الأنبياء والملائكة.
 E204724 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: الصافات | Statement: [Surah As-Saffat, name, الصافات]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: الصافات
Context triple: [Surah As-Saffat, name, الصافات]
  • A. Barcha
    Barcha is the surname of Mercedes Barcha, the Colombian wife and lifelong companion of Nobel Prize–winning author Gabriel García Márquez.
  • B. Yallahs
    Yallahs is a coastal town in southeastern Jamaica known for its proximity to Kingston and its role as a local commercial and residential center in St. Thomas Parish.
  • C. Palilula
    Palilula is one of the urban municipalities of Belgrade, Serbia, encompassing both central city neighborhoods and outlying suburban and rural areas.
  • D. Tarifit
    Tarifit is a Northern Berber language spoken primarily by the Riffian people in the Rif region of northern Morocco.
  • E. Tullistes
    Tullistes are the inhabitants of the French city of Tulle, located in the Corrèze department in central France.
  • 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: الصافات
Triple: [Surah As-Saffat, name, الصافات]
Generated description
الصافات هي سورة مكية من سور القرآن الكريم تُعنى بتوحيد الله وبيان مصير المشركين والمؤمنين من خلال قصص الأنبياء والملائكة.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: الصافات
Target entity description: الصافات هي سورة مكية من سور القرآن الكريم تُعنى بتوحيد الله وبيان مصير المشركين والمؤمنين من خلال قصص الأنبياء والملائكة.
  • A. Barcha
    Barcha is the surname of Mercedes Barcha, the Colombian wife and lifelong companion of Nobel Prize–winning author Gabriel García Márquez.
  • B. Yallahs
    Yallahs is a coastal town in southeastern Jamaica known for its proximity to Kingston and its role as a local commercial and residential center in St. Thomas Parish.
  • C. Palilula
    Palilula is one of the urban municipalities of Belgrade, Serbia, encompassing both central city neighborhoods and outlying suburban and rural areas.
  • D. Tarifit
    Tarifit is a Northern Berber language spoken primarily by the Riffian people in the Rif region of northern Morocco.
  • E. Tullistes
    Tullistes are the inhabitants of the French city of Tulle, located in the Corrèze department in central France.
  • 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_69a8864526c081908a3a4d74f689e2c5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa662b910c8190b1746730ee09015a completed March 6, 2026, 5:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf6722f081908c5368a09d1507ac completed March 8, 2026, 6:26 p.m.
NEDg Description generation batch_69adc0a3fdd88190b0ffa98db1b5cf80 completed March 8, 2026, 6:32 p.m.
NED2 Entity disambiguation (via description) batch_69adc1304a808190a999e71dfa39162a completed March 8, 2026, 6:34 p.m.
Created at: March 4, 2026, 7:32 p.m.