Triple

T7253972
Position Surface form Disambiguated ID Type / Status
Subject Ghaus-e Azam E157671 entity
Predicate scriptForm P9329 FINISHED
Object غوث الأعظم
غوث الأعظم هو لقب صوفي شهير يُطلق على الشيخ عبد القادر الجيلاني، أحد أبرز أولياء الإسلام ومؤسسي الطريقة القادرية.
 E654453 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: غوث الأعظم | Statement: [Ghaus-e Azam, scriptForm, غوث الأعظم]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: غوث الأعظم
Context triple: [Ghaus-e Azam, scriptForm, غوث الأعظم]
  • A. El Malek El Saleh
    El Malek El Saleh is a metro station in Cairo, Egypt, located on Line 1 of the Cairo Metro network.
  • B. Sulayman
    Sulayman is the Islamic name for King Solomon, a prophet and wise monarch revered in Abrahamic traditions for his justice, wisdom, and leadership.
  • C. Abdullah el-Tell
    Abdullah el-Tell was a Jordanian military commander best known for leading Arab Legion forces in Jerusalem during the 1948 Arab–Israeli War.
  • D. Amir al-Umara
    Amir al-Umara was a high-ranking military and political title in the medieval Islamic world, denoting a supreme commander or de facto ruler who often held power above the nominal caliph.
  • E. Mubarak Al-Kabeer
    Mubarak Al-Kabeer is a governorate-level administrative area in Kuwait, known for its primarily residential districts and proximity to Kuwait City.
  • 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: غوث الأعظم
Triple: [Ghaus-e Azam, scriptForm, غوث الأعظم]
Generated description
غوث الأعظم هو لقب صوفي شهير يُطلق على الشيخ عبد القادر الجيلاني، أحد أبرز أولياء الإسلام ومؤسسي الطريقة القادرية.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: غوث الأعظم
Target entity description: غوث الأعظم هو لقب صوفي شهير يُطلق على الشيخ عبد القادر الجيلاني، أحد أبرز أولياء الإسلام ومؤسسي الطريقة القادرية.
  • A. El Malek El Saleh
    El Malek El Saleh is a metro station in Cairo, Egypt, located on Line 1 of the Cairo Metro network.
  • B. Sulayman
    Sulayman is the Islamic name for King Solomon, a prophet and wise monarch revered in Abrahamic traditions for his justice, wisdom, and leadership.
  • C. Abdullah el-Tell
    Abdullah el-Tell was a Jordanian military commander best known for leading Arab Legion forces in Jerusalem during the 1948 Arab–Israeli War.
  • D. Amir al-Umara
    Amir al-Umara was a high-ranking military and political title in the medieval Islamic world, denoting a supreme commander or de facto ruler who often held power above the nominal caliph.
  • E. Mubarak Al-Kabeer
    Mubarak Al-Kabeer is a governorate-level administrative area in Kuwait, known for its primarily residential districts and proximity to Kuwait City.
  • 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_69c6882d81d4819085f7ff862951ee4f completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea9f55b4819081a43e7a01eda154 completed March 27, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db14f6c481908084aaa49d82787d completed March 28, 2026, 1:43 p.m.
NEDg Description generation batch_69c7e0659e6c81909165aaa914ec06ef completed March 28, 2026, 2:06 p.m.
NED2 Entity disambiguation (via description) batch_69c7e0afccd88190a1c6d074f28b68e2 completed March 28, 2026, 2:07 p.m.
Created at: March 27, 2026, 2:56 p.m.