Triple

T12383746
Position Surface form Disambiguated ID Type / Status
Subject The Great News E295807 entity
Predicate hasArabicName P6450 FINISHED
Object النبا
النبأ هو اسم سورة مكية في القرآن الكريم تُعنى بتذكير الناس بأهوال يوم القيامة وعظمة خبر البعث والحساب.
E979103 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: النبا | Statement: [The Great News, hasArabicName, النبا]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: النبا
Context triple: [The Great News, hasArabicName, النبا]
  • A. An-Najm
    An-Najm is the 53rd chapter of the Qur’an, known for its powerful verses affirming the Prophet Muhammad’s divine revelation and warning against idolatry.
  • B. Nawbahar
    Nawbahar was the mother of Mahmud of Ghazni, the prominent 11th-century sultan who founded the Ghaznavid Empire in present-day Afghanistan and northern India.
  • C. Sa'ir
    Sa'ir is a Palestinian town located in the southern West Bank, northeast of Hebron.
  • D. Dhuʼb
    Dhuʼb is a subtribe historically associated with the larger Arab tribe of Kinana.
  • E. Nebbi
    Nebbi is a town in northwestern Uganda that serves as an important local administrative and commercial center near the border with the Democratic Republic of the Congo.
  • 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: النبا
Triple: [The Great News, hasArabicName, النبا]
Generated description
النبأ هو اسم سورة مكية في القرآن الكريم تُعنى بتذكير الناس بأهوال يوم القيامة وعظمة خبر البعث والحساب.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: النبا
Target entity description: النبأ هو اسم سورة مكية في القرآن الكريم تُعنى بتذكير الناس بأهوال يوم القيامة وعظمة خبر البعث والحساب.
  • A. An-Najm
    An-Najm is the 53rd chapter of the Qur’an, known for its powerful verses affirming the Prophet Muhammad’s divine revelation and warning against idolatry.
  • B. Nawbahar
    Nawbahar was the mother of Mahmud of Ghazni, the prominent 11th-century sultan who founded the Ghaznavid Empire in present-day Afghanistan and northern India.
  • C. Sa'ir
    Sa'ir is a Palestinian town located in the southern West Bank, northeast of Hebron.
  • D. Dhuʼb
    Dhuʼb is a subtribe historically associated with the larger Arab tribe of Kinana.
  • E. Nebbi
    Nebbi is a town in northwestern Uganda that serves as an important local administrative and commercial center near the border with the Democratic Republic of the Congo.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fbc3f608190b0ee3c4f304a94db completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62ac78c5c81909fb3d63bc6c9cc01 completed May 2, 2026, 4:48 p.m.
NEDg Description generation batch_69f62be4de888190aac94d441748d295 completed May 2, 2026, 4:52 p.m.
NED2 Entity disambiguation (via description) batch_69f62d51ab8081909c6f534051019dca completed May 2, 2026, 4:58 p.m.
Created at: April 8, 2026, 9:54 p.m.