Triple

T11083095
Position Surface form Disambiguated ID Type / Status
Subject Qahtan E262050 entity
Predicate hasSubtribe P29097 FINISHED
Object Al Rufaida
Al Rufaida is a subtribe of the Qahtan tribal confederation, traditionally associated with the Arabian Peninsula.
 E903894 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: Al Rufaida | Statement: [Qahtan, hasSubtribe, Al Rufaida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Al Rufaida
Context triple: [Qahtan, hasSubtribe, Al Rufaida]
  • A. Masruq ibn al-Ajda
    Masruq ibn al-Ajda was a prominent early Muslim scholar and jurist of Kufa, renowned as a leading Tabi‘i and transmitter of hadith.
  • B. Abu al-Zinad
    Abu al-Zinad was an early Islamic scholar and hadith transmitter known for his role in preserving and teaching prophetic traditions in Medina.
  • C. Abu al-Ula
    Abu al-Ula was a Muslim ruler in medieval Seville under whose authority the iconic Torre del Oro was constructed.
  • D. Abu Yaʿza Yalnour
    Abu Yaʿza Yalnour was an early Moroccan Sufi master and ascetic whose spiritual teachings and example deeply shaped the development of Maghrebi Sufism.
  • E. Abu Yaʿla al-Farraʾ
    Abu Yaʿla al-Farraʾ was an eminent 11th-century Hanbali jurist and theologian whose legal and doctrinal works significantly shaped later Hanbali scholarship.
  • 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: Al Rufaida
Triple: [Qahtan, hasSubtribe, Al Rufaida]
Generated description
Al Rufaida is a subtribe of the Qahtan tribal confederation, traditionally associated with the Arabian Peninsula.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Al Rufaida
Target entity description: Al Rufaida is a subtribe of the Qahtan tribal confederation, traditionally associated with the Arabian Peninsula.
  • A. Masruq ibn al-Ajda
    Masruq ibn al-Ajda was a prominent early Muslim scholar and jurist of Kufa, renowned as a leading Tabi‘i and transmitter of hadith.
  • B. Abu al-Zinad
    Abu al-Zinad was an early Islamic scholar and hadith transmitter known for his role in preserving and teaching prophetic traditions in Medina.
  • C. Abu al-Ula
    Abu al-Ula was a Muslim ruler in medieval Seville under whose authority the iconic Torre del Oro was constructed.
  • D. Abu Yaʿza Yalnour
    Abu Yaʿza Yalnour was an early Moroccan Sufi master and ascetic whose spiritual teachings and example deeply shaped the development of Maghrebi Sufism.
  • E. Abu Yaʿla al-Farraʾ
    Abu Yaʿla al-Farraʾ was an eminent 11th-century Hanbali jurist and theologian whose legal and doctrinal works significantly shaped later Hanbali scholarship.
  • 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_69d6aa9983c08190b0ef61603b69feac completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d799bf89f48190889f08d2f5dd220a completed April 9, 2026, 12:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e79854c88190bda69cfbe4ae9d1e completed April 18, 2026, 8:20 p.m.
NEDg Description generation batch_69e3f2cafc008190a3504999297f1e4e completed April 18, 2026, 9:08 p.m.
NED2 Entity disambiguation (via description) batch_69e3f488819081908f9a4225279cde6b completed April 18, 2026, 9:15 p.m.
Created at: April 8, 2026, 9:27 p.m.