Triple

T397285
Position Surface form Disambiguated ID Type / Status
Subject Kazakhstan E9209 entity
Predicate majorCity P316 FINISHED
Object Pavlodar
Pavlodar is a major industrial and cultural city in northeastern Kazakhstan, located on the Irtysh River.
 E53177 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: Pavlodar | Statement: [Kazakhstan, majorCity, Pavlodar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pavlodar
Context triple: [Kazakhstan, majorCity, Pavlodar]
  • A. 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.
  • B. Almaty
    Almaty is the largest city and main commercial and cultural center of Kazakhstan, located in the country’s mountainous southeast.
  • C. Karaganda
    Karaganda is a large industrial city in central Kazakhstan known for its coal mining industry and Soviet-era history.
  • D. Aktobe
    Aktobe is a large industrial and cultural center in western Kazakhstan, known for its role in the country’s oil, gas, and mining sectors.
  • E. Kazan
    Kazan is a major city in western Russia and the capital of the Republic of Tatarstan, known for its rich Tatar-Russian cultural heritage and historic Kremlin.
  • 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: Pavlodar
Triple: [Kazakhstan, majorCity, Pavlodar]
Generated description
Pavlodar is a major industrial and cultural city in northeastern Kazakhstan, located on the Irtysh River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pavlodar
Target entity description: Pavlodar is a major industrial and cultural city in northeastern Kazakhstan, located on the Irtysh River.
  • A. 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.
  • B. Almaty
    Almaty is the largest city and main commercial and cultural center of Kazakhstan, located in the country’s mountainous southeast.
  • C. Karaganda
    Karaganda is a large industrial city in central Kazakhstan known for its coal mining industry and Soviet-era history.
  • D. Aktobe
    Aktobe is a large industrial and cultural center in western Kazakhstan, known for its role in the country’s oil, gas, and mining sectors.
  • E. Kazan
    Kazan is a major city in western Russia and the capital of the Republic of Tatarstan, known for its rich Tatar-Russian cultural heritage and historic Kremlin.
  • 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_69a2e8004cb88190b92ed1add6abf41a completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ec8bcf708190b62e15806159ceb1 completed Feb. 28, 2026, 1:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4254075388190af8fd09d037f427c completed March 1, 2026, 11:38 a.m.
NEDg Description generation batch_69a4261531ac8190aa879bf38bfd9371 completed March 1, 2026, 11:42 a.m.
NED2 Entity disambiguation (via description) batch_69a4267b09b4819085db5e073cc19360 completed March 1, 2026, 11:43 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.