Triple

T14251106
Position Surface form Disambiguated ID Type / Status
Subject Nawabshah District E353263 entity
Predicate hasTown P847 FINISHED
Object Daur
Daur is a town in Pakistan’s Sindh province, known as a local commercial and agricultural center within the Nawabshah (Shaheed Benazirabad) District.
 E1090426 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: Daur | Statement: [Nawabshah District, hasTown, Daur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Daur
Context triple: [Nawabshah District, hasTown, Daur]
  • A. Daur
    The Daur are a Mongolic ethnic group of northeastern China, traditionally living along the Heilongjiang (Amur) River and known for their distinct language, culture, and history as borderland farmers and hunters.
  • B. Yura
    Yura is a common Slavic diminutive form of the male given name Yuri (or Yuriy), often used as a familiar or affectionate nickname.
  • C. Yakut
    Yakut is a Turkic language spoken primarily in the Sakha Republic (Yakutia) in northeastern Siberia, Russia.
  • D. Tungus
    Tungus is an older term historically used to refer to the Evenki people and their language of Siberia.
  • E. Dava
    Dava is a feminine given name most notably borne by American science writer Dava Sobel.
  • 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: Daur
Triple: [Nawabshah District, hasTown, Daur]
Generated description
Daur is a town in Pakistan’s Sindh province, known as a local commercial and agricultural center within the Nawabshah (Shaheed Benazirabad) District.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Daur
Target entity description: Daur is a town in Pakistan’s Sindh province, known as a local commercial and agricultural center within the Nawabshah (Shaheed Benazirabad) District.
  • A. Daur
    The Daur are a Mongolic ethnic group of northeastern China, traditionally living along the Heilongjiang (Amur) River and known for their distinct language, culture, and history as borderland farmers and hunters.
  • B. Yura
    Yura is a common Slavic diminutive form of the male given name Yuri (or Yuriy), often used as a familiar or affectionate nickname.
  • C. Yakut
    Yakut is a Turkic language spoken primarily in the Sakha Republic (Yakutia) in northeastern Siberia, Russia.
  • D. Tungus
    Tungus is an older term historically used to refer to the Evenki people and their language of Siberia.
  • E. Dava
    Dava is a feminine given name most notably borne by American science writer Dava Sobel.
  • 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6296f9d0819086f62f525d07eb12 completed April 14, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd325815d48190b070866f41986847 completed May 8, 2026, 12:46 a.m.
NEDg Description generation batch_69fd367fd9788190bd25f057d1f0942c completed May 8, 2026, 1:04 a.m.
NED2 Entity disambiguation (via description) batch_69fd37c1f4c0819085f5c577e673e9df completed May 8, 2026, 1:09 a.m.
Created at: April 10, 2026, 1:08 a.m.