Triple

T19959989
Position Surface form Disambiguated ID Type / Status
Subject Atyrau Region E479785 entity
Predicate hasCity P316 FINISHED
Object Kulsary
Kulsary is a town in western Kazakhstan that serves as an important local center for the surrounding oil-producing region.
E1403653 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: Kulsary | Statement: [Atyrau Region, hasCity, Kulsary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kulsary
Context triple: [Atyrau Region, hasCity, Kulsary]
  • A. Krakhuna
    Krakhuna is a Georgian white grape variety from the Imereti region, known for producing aromatic, full-bodied wines with pronounced acidity.
  • B. Kykula
    Kykula is a mountain peak located in the Kysucké Beskydy range in northern Slovakia, known for its forested slopes and hiking opportunities.
  • C. Karzakan
    Karzakan is a coastal village in Bahrain known for its traditional palm groves and historic role in the country’s agricultural and pearl-diving heritage.
  • D. Kornos
    Kornos is a village located on the Greek island of Lemnos in the North Aegean region.
  • E. Kezlev
    Kezlev is the historical Crimean Tatar name for the city now known as Eupatoria, a coastal town on the western shore of Crimea.
  • 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: Kulsary
Triple: [Atyrau Region, hasCity, Kulsary]
Generated description
Kulsary is a town in western Kazakhstan that serves as an important local center for the surrounding oil-producing region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kulsary
Target entity description: Kulsary is a town in western Kazakhstan that serves as an important local center for the surrounding oil-producing region.
  • A. Krakhuna
    Krakhuna is a Georgian white grape variety from the Imereti region, known for producing aromatic, full-bodied wines with pronounced acidity.
  • B. Kykula
    Kykula is a mountain peak located in the Kysucké Beskydy range in northern Slovakia, known for its forested slopes and hiking opportunities.
  • C. Karzakan
    Karzakan is a coastal village in Bahrain known for its traditional palm groves and historic role in the country’s agricultural and pearl-diving heritage.
  • D. Kornos
    Kornos is a village located on the Greek island of Lemnos in the North Aegean region.
  • E. Kezlev
    Kezlev is the historical Crimean Tatar name for the city now known as Eupatoria, a coastal town on the western shore of Crimea.
  • 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65af386548190aefac1e40aac403d completed April 20, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07fdccdf408190b0d1130b82e9bfb2 completed May 16, 2026, 5:17 a.m.
NEDg Description generation batch_6a07fea23a988190832115346f8889ca completed May 16, 2026, 5:20 a.m.
NED2 Entity disambiguation (via description) batch_6a07ff4a59608190a17f30f60c879efc completed May 16, 2026, 5:23 a.m.
Created at: April 10, 2026, 1:54 p.m.