Triple

T16990167
Position Surface form Disambiguated ID Type / Status
Subject Литейный мост E412172 entity
Predicate соединяет P845 FINISHED
Object Выборгская сторона
Выборгская сторона — исторический район Санкт-Петербурга на правом берегу Невы, известный своей дореволюционной застройкой, промышленным прошлым и литературными ассоциациями.
 E1244988 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: Выборгская сторона | Statement: [Литейный мост, соединяет, Выборгская сторона]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Выборгская сторона
Context triple: [Литейный мост, соединяет, Выборгская сторона]
  • A. Dmitrovskaya
    Dmitrovskaya is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line serving the northern part of the city.
  • B. Voroshilovsk
    Voroshilovsk was the Soviet-era name of the Russian city now known as Stavropol, reflecting a period when it was renamed in honor of a prominent Soviet military and political figure.
  • C. Kirovskaya
    Kirovskaya was the original name of the Moscow Metro station now known as Chistye Prudy.
  • D. Krasnyi Luch
    Krasnyi Luch is an industrial city in eastern Ukraine known for its coal mining and heavy industry.
  • E. Krasnogvardeyskaya
    Krasnogvardeyskaya is a Moscow Metro station on the Zamoskvoretskaya Line serving the southern part of the city.
  • 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: Выборгская сторона
Triple: [Литейный мост, соединяет, Выборгская сторона]
Generated description
Выборгская сторона — исторический район Санкт-Петербурга на правом берегу Невы, известный своей дореволюционной застройкой, промышленным прошлым и литературными ассоциациями.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Выборгская сторона
Target entity description: Выборгская сторона — исторический район Санкт-Петербурга на правом берегу Невы, известный своей дореволюционной застройкой, промышленным прошлым и литературными ассоциациями.
  • A. Dmitrovskaya
    Dmitrovskaya is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line serving the northern part of the city.
  • B. Voroshilovsk
    Voroshilovsk was the Soviet-era name of the Russian city now known as Stavropol, reflecting a period when it was renamed in honor of a prominent Soviet military and political figure.
  • C. Kirovskaya
    Kirovskaya was the original name of the Moscow Metro station now known as Chistye Prudy.
  • D. Krasnyi Luch
    Krasnyi Luch is an industrial city in eastern Ukraine known for its coal mining and heavy industry.
  • E. Krasnogvardeyskaya
    Krasnogvardeyskaya is a Moscow Metro station on the Zamoskvoretskaya Line serving the southern part of the city.
  • 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d27fbaa0819099f79fc74d211647 completed April 18, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc14d5688190945f7ae72f724922 completed May 10, 2026, 7:27 p.m.
NEDg Description generation batch_6a0114d5aeb0819086f1a5d279ac0d0f completed May 10, 2026, 11:29 p.m.
NED2 Entity disambiguation (via description) batch_6a0115c967b0819088e2335fd45d755b completed May 10, 2026, 11:33 p.m.
Created at: April 10, 2026, 5:32 a.m.