Triple

T18987017
Position Surface form Disambiguated ID Type / Status
Subject Zhetysu E464581 entity
Predicate hasMajorCity P316 FINISHED
Object Kapshagay NE NERFINISHED

How this triple was built (2 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: Kapshagay | Statement: [Zhetysu, hasMajorCity, Kapshagay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kapshagay
Context triple: [Zhetysu, hasMajorCity, Kapshagay]
  • A. Kapchagay chosen
    Kapchagay is a town in southeastern Kazakhstan known for its large reservoir on the Ili River and its role as a regional recreation and tourism center.
  • B. Karchaghbyur
    Karchaghbyur is a village in Armenia, likely named after the nearby Karchaghbyur River.
  • C. Cholpon-Ata
    Cholpon-Ata is a popular resort town on the northern shore of Lake Issyk-Kul in Kyrgyzstan, known for its beaches, mountain scenery, and archaeological sites.
  • D. Kochkor-Ata
    Kochkor-Ata is a town in western Kyrgyzstan known for its role in regional industry and its location near key transport and energy infrastructure.
  • E. Ust-Koksa
    Ust-Koksa is a rural settlement in Russia’s Altai Republic, known as a gateway village for trekking and tourism in the Belukha Mountain region of the Altai Mountains.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd008af48190a97ff1c6488edf1b completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d660835c8190bedd78590b3e0a7e completed April 20, 2026, 7:31 a.m.
Created at: April 10, 2026, 12:01 p.m.