Triple

T22526699
Position Surface form Disambiguated ID Type / Status
Subject عز الدين ذو الفقار E556923 entity
Predicate familyName P18 FINISHED
Object ذو الفقار
ذو الفقار هو لقب عربي شهير ارتبط تاريخيًا باسم سيف الإمام علي بن أبي طالب وأصبح يُستخدم كلقب واسم عائلة في العالم العربي.
 E1542399 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: ذو الفقار | Statement: [عز الدين ذو الفقار, familyName, ذو الفقار]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ذو الفقار
Context triple: [عز الدين ذو الفقار, familyName, ذو الفقار]
  • A. الخفجي
    الخفجي مدينة سعودية ساحلية تقع على الخليج العربي قرب الحدود مع الكويت وتشتهر بصناعة النفط والغاز.
  • B. El Waily
    El Waily is a central urban district of Cairo, Egypt, known for its dense residential neighborhoods and mixed commercial areas.
  • C. Al Fayha
    Al Fayha is a professional football club based in Al Majma'ah, Saudi Arabia, competing in the Saudi Pro League.
  • D. Farsan
    Farsan is a small city in western Iran known for its Bakhtiari tribal culture and scenic mountainous surroundings.
  • E. Tawqi‘
    Tawqi‘ is a highly ornamental style of Arabic calligraphic script historically used for official documents and chancery writing.
  • 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: ذو الفقار
Triple: [عز الدين ذو الفقار, familyName, ذو الفقار]
Generated description
ذو الفقار هو لقب عربي شهير ارتبط تاريخيًا باسم سيف الإمام علي بن أبي طالب وأصبح يُستخدم كلقب واسم عائلة في العالم العربي.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ذو الفقار
Target entity description: ذو الفقار هو لقب عربي شهير ارتبط تاريخيًا باسم سيف الإمام علي بن أبي طالب وأصبح يُستخدم كلقب واسم عائلة في العالم العربي.
  • A. الخفجي
    الخفجي مدينة سعودية ساحلية تقع على الخليج العربي قرب الحدود مع الكويت وتشتهر بصناعة النفط والغاز.
  • B. El Waily
    El Waily is a central urban district of Cairo, Egypt, known for its dense residential neighborhoods and mixed commercial areas.
  • C. Al Fayha
    Al Fayha is a professional football club based in Al Majma'ah, Saudi Arabia, competing in the Saudi Pro League.
  • D. Farsan
    Farsan is a small city in western Iran known for its Bakhtiari tribal culture and scenic mountainous surroundings.
  • E. Tawqi‘
    Tawqi‘ is a highly ornamental style of Arabic calligraphic script historically used for official documents and chancery writing.
  • 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_69e11e57483c8190b0887c4f8ff26446 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15ed352b48190a96ef2896f2978cd completed April 29, 2026, 1:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b1dd894048190a50e4b3d24d26905 completed May 18, 2026, 2:10 p.m.
NEDg Description generation batch_6a0b2560f8b08190aaba573e06d38d55 completed May 18, 2026, 2:42 p.m.
NED2 Entity disambiguation (via description) batch_6a0b2729328481908faf3f88acfc9de1 completed May 18, 2026, 2:50 p.m.
Created at: April 16, 2026, 8:51 p.m.