Triple

T5368073
Position Surface form Disambiguated ID Type / Status
Subject Jarash Governorate E103176 entity
Predicate hasCity P316 FINISHED
Object Sakib
Sakib is a town in northern Jordan located within the Jarash Governorate, known for its hilly terrain and olive groves.
E516157 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: Sakib | Statement: [Jarash Governorate, hasCity, Sakib]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sakib
Context triple: [Jarash Governorate, hasCity, Sakib]
  • A. Tamim
    Tamim is a common Arabic male given name, notably borne by Tamim bin Hamad Al Thani, the Emir of Qatar.
  • B. Hasnat Khan
    Hasnat Khan is a British-Pakistani heart surgeon best known for his romantic relationship with Diana, Princess of Wales.
  • C. Najmul Hossain Shanto
    Najmul Hossain Shanto is a Bangladeshi international cricketer and top-order batter who has emerged as one of the leading figures in the country's Test side.
  • D. Hafeez
    Hafeez is a male given name of Arabic origin, commonly used in South Asia and the Muslim world, meaning "guardian" or "protector."
  • E. Younus
    Younus is a male given name of Arabic origin, commonly associated with the Quranic and Biblical figure Jonah.
  • 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: Sakib
Triple: [Jarash Governorate, hasCity, Sakib]
Generated description
Sakib is a town in northern Jordan located within the Jarash Governorate, known for its hilly terrain and olive groves.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sakib
Target entity description: Sakib is a town in northern Jordan located within the Jarash Governorate, known for its hilly terrain and olive groves.
  • A. Tamim
    Tamim is a common Arabic male given name, notably borne by Tamim bin Hamad Al Thani, the Emir of Qatar.
  • B. Hasnat Khan
    Hasnat Khan is a British-Pakistani heart surgeon best known for his romantic relationship with Diana, Princess of Wales.
  • C. Najmul Hossain Shanto
    Najmul Hossain Shanto is a Bangladeshi international cricketer and top-order batter who has emerged as one of the leading figures in the country's Test side.
  • D. Hafeez
    Hafeez is a male given name of Arabic origin, commonly used in South Asia and the Muslim world, meaning "guardian" or "protector."
  • E. Younus
    Younus is a male given name of Arabic origin, commonly associated with the Quranic and Biblical figure Jonah.
  • 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_69bd43daa3e4819090b59d127db70e57 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd86856f688190a34ab93619bae134 completed March 20, 2026, 5:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf2928859881908ac238feca132d07 completed March 21, 2026, 11:26 p.m.
NEDg Description generation batch_69bf2a09891c81908509695a41d1aa02 completed March 21, 2026, 11:30 p.m.
NED2 Entity disambiguation (via description) batch_69bf2ad48fc48190bb0c7de4df879c3b completed March 21, 2026, 11:33 p.m.
Created at: March 20, 2026, 2:02 p.m.