Triple

T24476660

Position	Surface form	Disambiguated ID	Type / Status
Subject	ГД	`E617250`	entity
Predicate	associatedStationNameEn	`P41163`	FINISHED
Object	Gostiyny Dvor Gostiyny Dvor is a central Saint Petersburg Metro station located near the historic Gostiny Dvor shopping arcade on Nevsky Prospekt.	`E1636429`	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: Gostiyny Dvor | Statement: [ГД, associatedStationNameEn, Gostiyny Dvor]

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: Gostiyny Dvor
Triple: [ГД, associatedStationNameEn, Gostiyny Dvor]

Generated description

Gostiyny Dvor is a central Saint Petersburg Metro station located near the historic Gostiny Dvor shopping arcade on Nevsky Prospekt.

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

Target predicate: associatedStationNameEn
Context triple: [ГД, associatedStationNameEn, Gostiyny Dvor]

A. associatedStation
Indicates a relationship where one entity is linked or connected to a particular station as its relevant or related station.
B. associatedWithStationName chosen
Indicates a relationship where something is linked or connected to a particular station identified by its name.
C. associatedStationCountry
Indicates that there is a relationship linking a station to the country with which it is associated.
D. associatedStationQualifier
Indicates that a station is linked to another station with a specific qualifying role or context (such as type, function, or relationship).
E. ownedStation
Indicates that one entity possesses ownership or control over a particular station.
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_69e2d7f3ae788190b683394db15f220e`	completed	April 18, 2026, 1:01 a.m.
NER	Named-entity recognition	`batch_69f2994820f0819096f04d72ee2f4258`	completed	April 29, 2026, 11:50 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a0fe396c7c081908670c4c7296196bf`	completed	May 22, 2026, 5:03 a.m.
NEDg	Description generation	`batch_6a0fe674ce048190b129c3fe5a22b2e7`	completed	May 22, 2026, 5:15 a.m.
NED2	Entity disambiguation (via description)	`batch_6a0fe797fdd88190bb74050096ad7c8e`	completed	May 22, 2026, 5:20 a.m.
PD	Predicate disambiguation	`batch_69f287d76c7c81909494f12e606a9149`	completed	April 29, 2026, 10:36 p.m.

Created at: April 18, 2026, 2:21 a.m.