Triple

T2802446
Position Surface form Disambiguated ID Type / Status
Subject Pavlodar E53177 entity
Predicate capitalOf P204 FINISHED
Object Pavlodar Region E53177 NE FINISHED

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: Pavlodar Region | Statement: [Pavlodar, capitalOf, Pavlodar Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pavlodar Region
Context triple: [Pavlodar, capitalOf, Pavlodar Region]
  • A. South Kazakhstan Region
    South Kazakhstan Region was a former administrative region in southern Kazakhstan known for its agricultural productivity and location along the Syr Darya River near the borders with Uzbekistan and Kyrgyzstan.
  • B. Kyzylorda Region
    Kyzylorda Region is an administrative region in southern Kazakhstan known for hosting the Baikonur Cosmodrome, the world’s first and largest operational space launch facility.
  • C. West Kazakhstan Region
    West Kazakhstan Region is an administrative region in northwestern Kazakhstan known for its steppe landscapes, oil and gas resources, and its location spanning parts of Europe and Asia.
  • D. Akmola
    Akmola is the former name of Kazakhstan’s capital city, now known as Astana.
  • E. Pavlodar chosen
    Pavlodar is a major industrial and cultural city in northeastern Kazakhstan, located on the Irtysh River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ab495a90788190941b6917e1eca3a6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abde12b33481908b276760a922db9c completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01d5d830081909b4f5c9ec6188377 completed March 10, 2026, 1:32 p.m.
Created at: March 6, 2026, 9:58 p.m.