Triple

T14024213
Position Surface form Disambiguated ID Type / Status
Subject Qadi Zada al-Rumi E337413 entity
Predicate studentOf P48 FINISHED
Object al-Fanari
al-Fanari was a prominent Ottoman-era Islamic scholar and jurist known for his influential role in the development of early Ottoman intellectual and legal traditions.
 E1075254 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-Fanari | Statement: [Qadi Zada al-Rumi, studentOf, al-Fanari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: al-Fanari
Context triple: [Qadi Zada al-Rumi, studentOf, al-Fanari]
  • A. al-Fasi
    al-Fasi is an honorific nisba indicating a person’s origin or association with the city of Fes (Fez) in Morocco.
  • B. Al-Haffah
    Al-Haffah is a town in northwestern Syria known as an administrative center in the hilly, forested interior of the Latakia region.
  • C. al-Rukn al-Shami
    Al-Rukn al-Shami is one of the four corners of the Kaaba in Mecca, located on the side facing the Levant (al-Sham).
  • D. El Husseiniya
    El Husseiniya is a city in Egypt’s Sharqia Governorate, known as a local administrative and population center in the eastern Nile Delta region.
  • E. Fad‘an
    Fad‘an is a subtribe of the large and historically influential Arab tribal confederation of Anizah.
  • 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-Fanari
Triple: [Qadi Zada al-Rumi, studentOf, al-Fanari]
Generated description
al-Fanari was a prominent Ottoman-era Islamic scholar and jurist known for his influential role in the development of early Ottoman intellectual and legal traditions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: al-Fanari
Target entity description: al-Fanari was a prominent Ottoman-era Islamic scholar and jurist known for his influential role in the development of early Ottoman intellectual and legal traditions.
  • A. al-Fasi
    al-Fasi is an honorific nisba indicating a person’s origin or association with the city of Fes (Fez) in Morocco.
  • B. Al-Haffah
    Al-Haffah is a town in northwestern Syria known as an administrative center in the hilly, forested interior of the Latakia region.
  • C. al-Rukn al-Shami
    Al-Rukn al-Shami is one of the four corners of the Kaaba in Mecca, located on the side facing the Levant (al-Sham).
  • D. El Husseiniya
    El Husseiniya is a city in Egypt’s Sharqia Governorate, known as a local administrative and population center in the eastern Nile Delta region.
  • E. Fad‘an
    Fad‘an is a subtribe of the large and historically influential Arab tribal confederation of Anizah.
  • 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2fa6ca7481908976ce748a1957b1 completed April 14, 2026, 12:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc33170ec8190b0ffe41a567a590b completed May 6, 2026, 10:39 p.m.
NEDg Description generation batch_69fbc6d1048081908fb2e798cbc9902f completed May 6, 2026, 10:55 p.m.
NED2 Entity disambiguation (via description) batch_69fbc76610008190bd3c7f357666c8db completed May 6, 2026, 10:57 p.m.
Created at: April 9, 2026, 10:19 p.m.