Triple

T13873426

Position	Surface form	Disambiguated ID	Type / Status
Subject	Samoyed territories	`E333516`	entity
Predicate	governedWithin	`P11585`	FINISHED
Object	Russian federal subjects Russian federal subjects are the primary administrative and political divisions of the Russian Federation, encompassing regions such as republics, oblasts, krais, and autonomous okrugs with varying degrees of autonomy.	`E1065515`	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: Russian federal subjects | Statement: [Samoyed territories, governedWithin, Russian federal subjects]

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: Russian federal subjects
Context triple: [Samoyed territories, governedWithin, Russian federal subjects]

A. Russian Federation military districts
The Russian Federation military districts are major regional command structures of Russia’s armed forces responsible for organizing, training, and operational control of military units within their geographic areas.
B. Central Federal District of Russia
The Central Federal District of Russia is an administrative region in western Russia that includes the capital city of Moscow and serves as a major political, economic, and transportation hub of the country.
C. Ural Federal District
The Ural Federal District is an administrative region of Russia located around the Ural Mountains, serving as a major industrial and logistical hub bridging European and Asian parts of the country.
D. North Caucasian Federal District
The North Caucasian Federal District is an administrative region of Russia located in the North Caucasus, known for its ethnically diverse republics and strategic position between Europe and Asia.
E. Republic of Khakassia
The Republic of Khakassia is a federal subject of Russia in southwestern Siberia, known for its steppe landscapes, rich Turkic and indigenous cultural heritage, and numerous archaeological sites.
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: Russian federal subjects
Triple: [Samoyed territories, governedWithin, Russian federal subjects]

Generated description

Russian federal subjects are the primary administrative and political divisions of the Russian Federation, encompassing regions such as republics, oblasts, krais, and autonomous okrugs with varying degrees of autonomy.

NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07

Target entity: Russian federal subjects
Target entity description: Russian federal subjects are the primary administrative and political divisions of the Russian Federation, encompassing regions such as republics, oblasts, krais, and autonomous okrugs with varying degrees of autonomy.

A. Russian Federation military districts
The Russian Federation military districts are major regional command structures of Russia’s armed forces responsible for organizing, training, and operational control of military units within their geographic areas.
B. Central Federal District of Russia
The Central Federal District of Russia is an administrative region in western Russia that includes the capital city of Moscow and serves as a major political, economic, and transportation hub of the country.
C. Ural Federal District
The Ural Federal District is an administrative region of Russia located around the Ural Mountains, serving as a major industrial and logistical hub bridging European and Asian parts of the country.
D. North Caucasian Federal District
The North Caucasian Federal District is an administrative region of Russia located in the North Caucasus, known for its ethnically diverse republics and strategic position between Europe and Asia.
E. Republic of Khakassia
The Republic of Khakassia is a federal subject of Russia in southwestern Siberia, known for its steppe landscapes, rich Turkic and indigenous cultural heritage, and numerous archaeological sites.
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_69d81c5ced9c8190b0e9bcc6effe5959`	completed	April 9, 2026, 9:38 p.m.
NER	Named-entity recognition	`batch_69de0be4031c8190bef5865ec23b18a0`	completed	April 14, 2026, 9:41 a.m.
NED1	Entity disambiguation (via context triple)	`batch_69f7c107c20c81909dff0ca4a59fcc55`	completed	May 3, 2026, 9:41 p.m.
NEDg	Description generation	`batch_69f7c20da9448190b3167b091bd39b94`	completed	May 3, 2026, 9:45 p.m.
NED2	Entity disambiguation (via description)	`batch_69f7c2cc63148190b9ca2828abe54286`	completed	May 3, 2026, 9:49 p.m.

Created at: April 9, 2026, 10:14 p.m.