Triple

T9065107
Position Surface form Disambiguated ID Type / Status
Subject Yazidis E217225 entity
Predicate populationCenter P2106 FINISHED
Object Shekhan
Shekhan is a town in northern Iraq that serves as one of the main cultural and residential centers of the Yazidi community.
 E777297 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: Shekhan | Statement: [Yazidis, populationCenter, Shekhan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shekhan
Context triple: [Yazidis, populationCenter, Shekhan]
  • A. Khekra
    Khekra is a prominent town in the Baghpat district of Uttar Pradesh, India, known for its local trade and proximity to the National Capital Region.
  • B. Surkhob
    Surkhob is the historical name of a major river in Central Asia that forms part of what is now known as the Vakhsh River in Tajikistan.
  • C. Khashuri
    Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
  • D. Shughni
    Shughni is an Eastern Iranian language spoken primarily in the Badakhshan region of Tajikistan and Afghanistan, known for its use among the Shughni people in the Pamir Mountains.
  • E. Khar
    Khar is a suburban neighborhood in Mumbai, India, known for its residential areas, shopping streets, and proximity to the Arabian Sea.
  • 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: Shekhan
Triple: [Yazidis, populationCenter, Shekhan]
Generated description
Shekhan is a town in northern Iraq that serves as one of the main cultural and residential centers of the Yazidi community.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shekhan
Target entity description: Shekhan is a town in northern Iraq that serves as one of the main cultural and residential centers of the Yazidi community.
  • A. Khekra
    Khekra is a prominent town in the Baghpat district of Uttar Pradesh, India, known for its local trade and proximity to the National Capital Region.
  • B. Surkhob
    Surkhob is the historical name of a major river in Central Asia that forms part of what is now known as the Vakhsh River in Tajikistan.
  • C. Khashuri
    Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
  • D. Shughni
    Shughni is an Eastern Iranian language spoken primarily in the Badakhshan region of Tajikistan and Afghanistan, known for its use among the Shughni people in the Pamir Mountains.
  • E. Khar
    Khar is a suburban neighborhood in Mumbai, India, known for its residential areas, shopping streets, and proximity to the Arabian Sea.
  • 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_69ca83d5a7f48190b16c1e59bd43ede0 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc94bb26588190b7d6f2d70819e86f completed April 1, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69d017a3926881909140f59c60ec3588 completed April 3, 2026, 7:40 p.m.
NEDg Description generation batch_69d01908d7b08190ab159048f25924d5 completed April 3, 2026, 7:46 p.m.
NED2 Entity disambiguation (via description) batch_69d019b9be10819091e25d5b3a8d26c1 completed April 3, 2026, 7:49 p.m.
Created at: March 30, 2026, 7:11 p.m.