Triple

T13578916
Position Surface form Disambiguated ID Type / Status
Subject Hisham ibn Abd al-Malik E324358 entity
Predicate deathPlace P21 FINISHED
Object Al-Rusafa
Al-Rusafa was a notable locality associated with the Umayyad caliphs in early Islamic history, known particularly as a residence and place of death for members of the dynasty.
 E1048660 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-Rusafa | Statement: [Hisham ibn Abd al-Malik, deathPlace, Al-Rusafa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Al-Rusafa
Context triple: [Hisham ibn Abd al-Malik, deathPlace, Al-Rusafa]
  • A. Sa'ir
    Sa'ir is a Palestinian town located in the southern West Bank, northeast of Hebron.
  • B. Al-Aflaj
    Al-Aflaj is a governorate and oasis area in central Saudi Arabia known for its agricultural communities and historic desert landscapes.
  • C. El Quseyya
    El Quseyya is a city in Upper Egypt situated along the Nile within the Asyut Governorate.
  • D. Al-Fil
    Al-Fil is the 105th chapter of the Qur’an, known for recounting the story of the Army of the Elephant and God’s protection of the Kaaba.
  • E. Fazza
    Fazza is the popular pen name of Sheikh Hamdan bin Mohammed Al Maktoum, the Crown Prince of Dubai and a well-known Emirati poet and public figure.
  • 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-Rusafa
Triple: [Hisham ibn Abd al-Malik, deathPlace, Al-Rusafa]
Generated description
Al-Rusafa was a notable locality associated with the Umayyad caliphs in early Islamic history, known particularly as a residence and place of death for members of the dynasty.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Al-Rusafa
Target entity description: Al-Rusafa was a notable locality associated with the Umayyad caliphs in early Islamic history, known particularly as a residence and place of death for members of the dynasty.
  • A. Sa'ir
    Sa'ir is a Palestinian town located in the southern West Bank, northeast of Hebron.
  • B. Al-Aflaj
    Al-Aflaj is a governorate and oasis area in central Saudi Arabia known for its agricultural communities and historic desert landscapes.
  • C. El Quseyya
    El Quseyya is a city in Upper Egypt situated along the Nile within the Asyut Governorate.
  • D. Al-Fil
    Al-Fil is the 105th chapter of the Qur’an, known for recounting the story of the Army of the Elephant and God’s protection of the Kaaba.
  • E. Fazza
    Fazza is the popular pen name of Sheikh Hamdan bin Mohammed Al Maktoum, the Crown Prince of Dubai and a well-known Emirati poet and public figure.
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb03052088190a2b68c106059828e completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bbbe3c08190a359dfe7c3c8f15c completed May 3, 2026, 3:37 p.m.
NEDg Description generation batch_69f77641e5308190a75bcffeb9bfd7b4 completed May 3, 2026, 4:22 p.m.
NED2 Entity disambiguation (via description) batch_69f778f01700819099c3e9cbc84f29e4 completed May 3, 2026, 4:33 p.m.
Created at: April 9, 2026, 9:48 p.m.