Triple

T9082558

Position	Surface form	Disambiguated ID	Type / Status
Subject	Novy Urengoy	`E217668`	entity
Predicate	governingBody	`P46`	FINISHED
Object	administration of Novy Urengoy The administration of Novy Urengoy is the municipal executive authority responsible for managing local governance, public services, and development policies in the city of Novy Urengoy, Russia.	`E775703`	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: administration of Novy Urengoy | Statement: [Novy Urengoy, governingBody, administration of Novy Urengoy]

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

Target entity: administration of Novy Urengoy
Context triple: [Novy Urengoy, governingBody, administration of Novy Urengoy]

A. administration of Chaunsky District
The administration of Chaunsky District is the local governmental authority responsible for managing public affairs, services, and development within Chaunsky District in Russia.
B. Administration of Yuzhno-Sakhalinsk
The Administration of Yuzhno-Sakhalinsk is the municipal executive authority responsible for local governance, public services, and implementation of city policies in Yuzhno-Sakhalinsk, Russia.
C. Administration of Nevsky District
The Administration of Nevsky District is the local governmental body responsible for managing municipal services, development, and public administration within Saint Petersburg’s Nevsky District.
D. administration of Kurilsky District
The administration of Kurilsky District is the local governmental authority responsible for managing public services, development, and administration in Kurilsky District, including the town of Kurilsk in Russia’s Sakhalin Oblast.
E. administration of Providensky District
The administration of Providensky District is the local governmental authority responsible for managing public services, development, and administration within Providensky District in Russia’s Chukotka Autonomous Okrug.
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: administration of Novy Urengoy
Triple: [Novy Urengoy, governingBody, administration of Novy Urengoy]

Generated description

The administration of Novy Urengoy is the municipal executive authority responsible for managing local governance, public services, and development policies in the city of Novy Urengoy, Russia.

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

Target entity: administration of Novy Urengoy
Target entity description: The administration of Novy Urengoy is the municipal executive authority responsible for managing local governance, public services, and development policies in the city of Novy Urengoy, Russia.

A. administration of Chaunsky District
The administration of Chaunsky District is the local governmental authority responsible for managing public affairs, services, and development within Chaunsky District in Russia.
B. Administration of Yuzhno-Sakhalinsk
The Administration of Yuzhno-Sakhalinsk is the municipal executive authority responsible for local governance, public services, and implementation of city policies in Yuzhno-Sakhalinsk, Russia.
C. Administration of Nevsky District
The Administration of Nevsky District is the local governmental body responsible for managing municipal services, development, and public administration within Saint Petersburg’s Nevsky District.
D. administration of Kurilsky District
The administration of Kurilsky District is the local governmental authority responsible for managing public services, development, and administration in Kurilsky District, including the town of Kurilsk in Russia’s Sakhalin Oblast.
E. administration of Providensky District
The administration of Providensky District is the local governmental authority responsible for managing public services, development, and administration within Providensky District in Russia’s Chukotka Autonomous Okrug.
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_69ca83d7a0388190ba1af89ed7ba36f9`	completed	March 30, 2026, 2:08 p.m.
NER	Named-entity recognition	`batch_69cc960a2760819084aab611eb1c43a9`	completed	April 1, 2026, 3:50 a.m.
NED1	Entity disambiguation (via context triple)	`batch_69cffe30093481908b3ec394cf585642`	completed	April 3, 2026, 5:51 p.m.
NEDg	Description generation	`batch_69d000d5b24481908679dbb92372c4b9`	completed	April 3, 2026, 6:03 p.m.
NED2	Entity disambiguation (via description)	`batch_69d001692c3481909924615717e316c2`	completed	April 3, 2026, 6:05 p.m.

Created at: March 30, 2026, 7:13 p.m.