Triple

T26098953
Position Surface form Disambiguated ID Type / Status
Subject Badawiyya E658347 entity
Predicate hasTitleForFounder P166604 FINISHED
Object al-Sayyid al-Badawi of Tanta
Al-Sayyid al-Badawi of Tanta was a prominent 13th-century Egyptian Sufi saint and mystic whose shrine in Tanta became a major center of pilgrimage and the focus of one of Egypt’s largest religious festivals.
E1708663 NE FINISHED

How this triple was built (2 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-Sayyid al-Badawi of Tanta | Statement: [Badawiyya, hasTitleForFounder, al-Sayyid al-Badawi of Tanta]
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-Sayyid al-Badawi of Tanta
Triple: [Badawiyya, hasTitleForFounder, al-Sayyid al-Badawi of Tanta]
Generated description
Al-Sayyid al-Badawi of Tanta was a prominent 13th-century Egyptian Sufi saint and mystic whose shrine in Tanta became a major center of pilgrimage and the focus of one of Egypt’s largest religious festivals.

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_69ee5bc09c288190bc42a11972841383 completed April 26, 2026, 6:38 p.m.
NER Named-entity recognition batch_69f6633bf5348190af7ed5e7ab7743b8 completed May 2, 2026, 8:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a111b4219e48190a917363c22fbd3c0 completed May 23, 2026, 3:13 a.m.
NEDg Description generation batch_6a111c2770f8819089ab0ce3eb365c93 completed May 23, 2026, 3:16 a.m.
NED2 Entity disambiguation (via description) batch_6a111df51a8c8190841ee5f63b0c5633 completed May 23, 2026, 3:24 a.m.
Created at: April 26, 2026, 7:53 p.m.