Triple

T2416804
Position Surface form Disambiguated ID Type / Status
Subject Karaganda E52322 entity
Predicate governingBody P46 FINISHED
Object Karaganda city administration E52322 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: Karaganda city administration | Statement: [Karaganda, governingBody, Karaganda city administration]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karaganda city administration
Context triple: [Karaganda, governingBody, Karaganda city administration]
  • A. Karaganda chosen
    Karaganda is a large industrial city in central Kazakhstan known for its coal mining industry and Soviet-era history.
  • B. Pavlodar
    Pavlodar is a major industrial and cultural city in northeastern Kazakhstan, located on the Irtysh River.
  • C. Karshi
    Karshi is a city in southern Uzbekistan known as an important regional center for industry, agriculture, and transportation.
  • D. Namangan
    Namangan is a major city in eastern Uzbekistan, known as an important cultural and economic center in the Fergana Valley.
  • E. Qamishli
    Qamishli is a predominantly Kurdish city in northeastern Syria that serves as a key cultural and political hub for Kurmanji-speaking Kurds.
  • 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_69ab495622948190bc6bc6e4cddaf645 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc94eafd481909eeff689e5bf5960 completed March 7, 2026, 6:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf4a784c819082c47e3936242478 completed March 9, 2026, 12:38 p.m.
Created at: March 6, 2026, 9:42 p.m.