Triple

T6212473
Position Surface form Disambiguated ID Type / Status
Subject Gatchina E138901 entity
Predicate hasNearbyWaterBody P1489 FINISHED
Object Silver Lake (Gatchina)
Silver Lake (Gatchina) is a scenic natural lake located within the historic town and park complex of Gatchina in Leningrad Oblast, Russia.
 E575678 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: Silver Lake (Gatchina) | Statement: [Gatchina, hasNearbyWaterBody, Silver Lake (Gatchina)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Silver Lake (Gatchina)
Context triple: [Gatchina, hasNearbyWaterBody, Silver Lake (Gatchina)]
  • A. Vyatskoye
    Vyatskoye is a rural locality in Russia’s Khabarovsk Krai, historically noted as the birthplace of North Korean leader Kim Jong Il.
  • B. Khimki Reservoir
    Khimki Reservoir is a large artificial water body near Moscow that serves as a key part of the city's water supply and navigation system.
  • C. Nikolskoye
    Nikolskoye is a town in northwestern Russia known as part of the Saint Petersburg metropolitan area in Leningrad Oblast.
  • D. Nikolskoye
    Nikolskoye is the main and only permanent settlement on Russia’s remote Commander Islands in the Bering Sea.
  • E. Вышний Волочёк
    Вышний Волочёк — это город в Тверской области России, расположенный на важном историческом водном пути между бассейнами Волги и Балтийского моря.
  • 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: Silver Lake (Gatchina)
Triple: [Gatchina, hasNearbyWaterBody, Silver Lake (Gatchina)]
Generated description
Silver Lake (Gatchina) is a scenic natural lake located within the historic town and park complex of Gatchina in Leningrad Oblast, Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Silver Lake (Gatchina)
Target entity description: Silver Lake (Gatchina) is a scenic natural lake located within the historic town and park complex of Gatchina in Leningrad Oblast, Russia.
  • A. Vyatskoye
    Vyatskoye is a rural locality in Russia’s Khabarovsk Krai, historically noted as the birthplace of North Korean leader Kim Jong Il.
  • B. Khimki Reservoir
    Khimki Reservoir is a large artificial water body near Moscow that serves as a key part of the city's water supply and navigation system.
  • C. Nikolskoye
    Nikolskoye is a town in northwestern Russia known as part of the Saint Petersburg metropolitan area in Leningrad Oblast.
  • D. Nikolskoye
    Nikolskoye is the main and only permanent settlement on Russia’s remote Commander Islands in the Bering Sea.
  • E. Вышний Волочёк
    Вышний Волочёк — это город в Тверской области России, расположенный на важном историческом водном пути между бассейнами Волги и Балтийского моря.
  • 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_69c008ada364819096c9e92c74d639b5 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0628c52ec8190b9c62c7fdc0aa83b completed March 22, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f5cf41c8190b4efb1dc0a4a0e5e completed March 23, 2026, 4:50 p.m.
NEDg Description generation batch_69c1d54bffa881909edcd1342b8d8ce5 completed March 24, 2026, 12:05 a.m.
NED2 Entity disambiguation (via description) batch_69c1d7aec88081908bde0557888b5524 completed March 24, 2026, 12:15 a.m.
Created at: March 22, 2026, 4:21 p.m.