Triple

T11291918
Position Surface form Disambiguated ID Type / Status
Subject Talas River E267344 entity
Predicate nearbyCity P350 FINISHED
Object Taraz
Taraz is one of the oldest cities in Kazakhstan, a historic Silk Road trading center located in the south of the country near the Talas River.
 E1053255 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: Taraz | Statement: [Talas River, nearbyCity, Taraz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Taraz
Context triple: [Talas River, nearbyCity, Taraz]
  • A. Zhezkazgan
    Zhezkazgan is a major industrial and mining city in central Kazakhstan, known especially for its large copper deposits and metallurgical complex.
  • B. Temirtau
    Temirtau is a major industrial city in Kazakhstan, best known for its large steel production complex and heavy metallurgical industry.
  • C. Karaganda
    Karaganda is a large industrial city in central Kazakhstan known for its coal mining industry and Soviet-era history.
  • D. Shymkent
    Shymkent is one of the largest and most populous cities in southern Kazakhstan, serving as a key industrial, commercial, and cultural center of the region.
  • E. Kokshetau
    Kokshetau is a city in northern Kazakhstan that serves as the administrative and economic center of the surrounding Akmola Region.
  • 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: Taraz
Triple: [Talas River, nearbyCity, Taraz]
Generated description
Taraz is one of the oldest cities in Kazakhstan, a historic Silk Road trading center located in the south of the country near the Talas River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Taraz
Target entity description: Taraz is one of the oldest cities in Kazakhstan, a historic Silk Road trading center located in the south of the country near the Talas River.
  • A. Zhezkazgan
    Zhezkazgan is a major industrial and mining city in central Kazakhstan, known especially for its large copper deposits and metallurgical complex.
  • B. Temirtau
    Temirtau is a major industrial city in Kazakhstan, best known for its large steel production complex and heavy metallurgical industry.
  • C. Karaganda
    Karaganda is a large industrial city in central Kazakhstan known for its coal mining industry and Soviet-era history.
  • D. Shymkent
    Shymkent is one of the largest and most populous cities in southern Kazakhstan, serving as a key industrial, commercial, and cultural center of the region.
  • E. Kokshetau
    Kokshetau is a city in northern Kazakhstan that serves as the administrative and economic center of the surrounding Akmola Region.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e989fdac81909a4a75f1f68b55c6 completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78ac420788190b12167aef7436c64 completed May 3, 2026, 5:49 p.m.
NEDg Description generation batch_69f78cdf1a74819087b0370060ddfa99 completed May 3, 2026, 5:58 p.m.
NED2 Entity disambiguation (via description) batch_69f78e00007c81909007a751fd4625c2 completed May 3, 2026, 6:03 p.m.
Created at: April 8, 2026, 9:32 p.m.