Triple

T6852637
Position Surface form Disambiguated ID Type / Status
Subject Sahnun E158058 entity
Predicate birthPlace P1 FINISHED
Object Qayrawan
Qayrawan (Kairouan) is a historic city in central Tunisia renowned as an early center of Islamic scholarship and a major religious and cultural hub in North Africa.
 E624028 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: Qayrawan | Statement: [Sahnun, birthPlace, Qayrawan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Qayrawan
Context triple: [Sahnun, birthPlace, Qayrawan]
  • A. Madayya
    Madayya was a poet who served in the royal court of the Vijayanagara emperor Sri Krishnadevaraya.
  • B. Akhnur
    Akhnur is a town in the Jammu district of the Indian union territory of Jammu and Kashmir, known for its strategic location near the India–Pakistan border and its historical and archaeological significance.
  • C. Qardaha
    Qardaha is a town in northwestern Syria best known as the ancestral home of the Assad family, which has dominated the country’s political leadership for decades.
  • D. Sarakhs
    Sarakhs is a historic border city in northeastern Iran, known for its strategic location along ancient trade routes between Iran and Central Asia.
  • E. Kifri
    Kifri is a town in Iraq with a significant Iraqi Turkmen population and cultural presence.
  • 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: Qayrawan
Triple: [Sahnun, birthPlace, Qayrawan]
Generated description
Qayrawan (Kairouan) is a historic city in central Tunisia renowned as an early center of Islamic scholarship and a major religious and cultural hub in North Africa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Qayrawan
Target entity description: Qayrawan (Kairouan) is a historic city in central Tunisia renowned as an early center of Islamic scholarship and a major religious and cultural hub in North Africa.
  • A. Madayya
    Madayya was a poet who served in the royal court of the Vijayanagara emperor Sri Krishnadevaraya.
  • B. Akhnur
    Akhnur is a town in the Jammu district of the Indian union territory of Jammu and Kashmir, known for its strategic location near the India–Pakistan border and its historical and archaeological significance.
  • C. Qardaha
    Qardaha is a town in northwestern Syria best known as the ancestral home of the Assad family, which has dominated the country’s political leadership for decades.
  • D. Sarakhs
    Sarakhs is a historic border city in northeastern Iran, known for its strategic location along ancient trade routes between Iran and Central Asia.
  • E. Kifri
    Kifri is a town in Iraq with a significant Iraqi Turkmen population and cultural presence.
  • 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_69c6882fae988190864cbba788c5ebb4 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d84fffbc8190943ca7f3f03937e9 completed March 27, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72fd79e508190b00e45f9cceb3e21 completed March 28, 2026, 1:33 a.m.
NEDg Description generation batch_69c736d6af648190b651b13726f369da completed March 28, 2026, 2:03 a.m.
NED2 Entity disambiguation (via description) batch_69c737d316d08190822e22ff3a41b242 completed March 28, 2026, 2:07 a.m.
Created at: March 27, 2026, 2:20 p.m.