Triple

T13462474

Position	Surface form	Disambiguated ID	Type / Status
Subject	Maykop	`E311405`	entity
Predicate	isAdministrativeCenterOf	`P1474`	FINISHED
Object	Maykopsky District (de facto, without being part of it) Maykopsky District (de facto, without being part of it) is a municipal district in the Republic of Adygea, Russia, whose administrative functions are carried out from the nearby city of Maykop, even though the city is not formally included within the district’s territory.	`E1041624`	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: Maykopsky District (de facto, without being part of it) | Statement: [Maykop, isAdministrativeCenterOf, Maykopsky District (de facto, without being part of it)]

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

Target entity: Maykopsky District (de facto, without being part of it)
Context triple: [Maykop, isAdministrativeCenterOf, Maykopsky District (de facto, without being part of it)]

A. Azovsky District (de facto, though not part of it)
Azovsky District (de facto, though not part of it) is an administrative district in Russia’s Rostov Oblast that is functionally centered on the city of Azov, despite the city being administratively separate from the district itself.
B. Vologodsky District (de facto, while not part of it)
Vologodsky District (de facto, while not part of it) is a municipal district in Vologda Oblast, Russia, whose administrative functions are centered in the city of Vologda even though the city itself is administratively separate from the district.
C. Cherepovetsky District (de facto, while not part of it)
Cherepovetsky District (de facto, while not part of it) is an administrative district in Vologda Oblast, Russia, whose functions are effectively centered in the nearby city of Cherepovets despite the city being administratively separate.
D. Chitinsky District (de facto)
Chitinsky District (de facto) is an administrative district in Zabaykalsky Krai, Russia, for which the city of Chita serves as the administrative center.
E. Rybinsky District (de facto, though not part of it)
Rybinsky District (de facto, though not part of it) is an administrative district in Yaroslavl Oblast, Russia, whose functions are effectively centered in the nearby city of Rybinsk despite the city not being formally included within the district’s territory.
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: Maykopsky District (de facto, without being part of it)
Triple: [Maykop, isAdministrativeCenterOf, Maykopsky District (de facto, without being part of it)]

Generated description

Maykopsky District (de facto, without being part of it) is a municipal district in the Republic of Adygea, Russia, whose administrative functions are carried out from the nearby city of Maykop, even though the city is not formally included within the district’s territory.

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

Target entity: Maykopsky District (de facto, without being part of it)
Target entity description: Maykopsky District (de facto, without being part of it) is a municipal district in the Republic of Adygea, Russia, whose administrative functions are carried out from the nearby city of Maykop, even though the city is not formally included within the district’s territory.

A. Azovsky District (de facto, though not part of it)
Azovsky District (de facto, though not part of it) is an administrative district in Russia’s Rostov Oblast that is functionally centered on the city of Azov, despite the city being administratively separate from the district itself.
B. Vologodsky District (de facto, while not part of it)
Vologodsky District (de facto, while not part of it) is a municipal district in Vologda Oblast, Russia, whose administrative functions are centered in the city of Vologda even though the city itself is administratively separate from the district.
C. Cherepovetsky District (de facto, while not part of it)
Cherepovetsky District (de facto, while not part of it) is an administrative district in Vologda Oblast, Russia, whose functions are effectively centered in the nearby city of Cherepovets despite the city being administratively separate.
D. Chitinsky District (de facto)
Chitinsky District (de facto) is an administrative district in Zabaykalsky Krai, Russia, for which the city of Chita serves as the administrative center.
E. Rybinsky District (de facto, though not part of it)
Rybinsky District (de facto, though not part of it) is an administrative district in Yaroslavl Oblast, Russia, whose functions are effectively centered in the nearby city of Rybinsk despite the city not being formally included within the district’s territory.
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_69d806a938b8819097ec43a2229fc7f9`	completed	April 9, 2026, 8:06 p.m.
NER	Named-entity recognition	`batch_69dbaf0d95fc81909d9f73d5315dc7b4`	completed	April 12, 2026, 2:41 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69f739a2c75c819093765eb9d0d2377e`	completed	May 3, 2026, 12:03 p.m.
NEDg	Description generation	`batch_69f73db030ec8190a7d6b2cb1a3d52ed`	completed	May 3, 2026, 12:21 p.m.
NED2	Entity disambiguation (via description)	`batch_69f73e8531a48190a280407f291d004c`	completed	May 3, 2026, 12:24 p.m.

Created at: April 9, 2026, 9:41 p.m.