Triple

T37941950

Position	Surface form	Disambiguated ID	Type / Status
Subject	Тимирязевская	`E946510`	entity
Predicate	имеет пересадку на	`P174429`	FINISHED
Object	станция Тимирязевская Московского центрального диаметра D1 Станция Тимирязевская Московского центрального диаметра D1 — это остановочный пункт городской железнодорожной линии D1 в Москве, обеспечивающий пересадку на одноимённую станцию метро и другие виды городского транспорта.	`E2249883`	NE FINISHED

How this triple was built (3 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: станция Тимирязевская Московского центрального диаметра D1 | Statement: [Тимирязевская, имеет пересадку на, станция Тимирязевская Московского центрального диаметра D1]

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: станция Тимирязевская Московского центрального диаметра D1
Triple: [Тимирязевская, имеет пересадку на, станция Тимирязевская Московского центрального диаметра D1]

Generated description

Станция Тимирязевская Московского центрального диаметра D1 — это остановочный пункт городской железнодорожной линии D1 в Москве, обеспечивающий пересадку на одноимённую станцию метро и другие виды городского транспорта.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: имеет пересадку на
Context triple: [Тимирязевская, имеет пересадку на, станция Тимирязевская Московского центрального диаметра D1]

A. имеетПереход chosen
Indicates that one entity has or includes a passage, crossing, or transition leading to another entity.
B. hasPassengerTransfers
Indicates that passengers move or are transferred from one vehicle, route, or segment of a journey to another.
C. hasIntermediateStation
Indicates that a route, journey, or connection includes a station that lies between its starting point and its final destination.
D. occursDuringJourneyTo
Indicates that an event or action takes place while a journey to a specified destination is in progress.
E. transportedBetween
Indicates that an entity is moved or conveyed from one specified location or state to another.
F. None of above.

Provenance (6 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_69f76ef531ac8190ae6d99e5786e76ec`	completed	May 3, 2026, 3:51 p.m.
NER	Named-entity recognition	`batch_69fce28d6c3081908bf76f5db63ecf68`	completed	May 7, 2026, 7:05 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a4117f811508190838b713f657f1312`	completed	June 28, 2026, 12:47 p.m.
NEDg	Description generation	`batch_6a4118c579d08190b3820b73a5d6ba1a`	completed	June 28, 2026, 12:51 p.m.
NED2	Entity disambiguation (via description)	`batch_6a4119f543f88190bf09c8f9de2d1ca9`	completed	June 28, 2026, 12:56 p.m.
PD	Predicate disambiguation	`batch_69fce12d2f08819082134b5eb3db6a24`	completed	May 7, 2026, 6:59 p.m.

Created at: May 3, 2026, 4:20 p.m.