Triple

T687357
Position Surface form Disambiguated ID Type / Status
Subject Moscow Oblast E13313 entity
Predicate capital P234 FINISHED
Object Krasnogorsk
Krasnogorsk is a city in western Russia that serves as an important administrative and residential center just outside Moscow.
E112823 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: Krasnogorsk | Statement: [Moscow Oblast, capital, Krasnogorsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krasnogorsk
Context triple: [Moscow Oblast, capital, Krasnogorsk]
  • A. Astapovo
    Astapovo is a small Russian railway station village historically known as the place where the writer Leo Tolstoy died in 1910.
  • B. Novo-Ogaryovo
    Novo-Ogaryovo is a suburban governmental estate outside Moscow that serves as one of the primary official residences of Russian President Vladimir Putin.
  • C. Krasnaya Sloboda
    Krasnaya Sloboda is a historic all-Jewish settlement in northern Azerbaijan, known as one of the world's only exclusively Mountain Jewish towns.
  • D. Khimki
    Khimki is a city in Moscow Oblast, Russia, forming part of the Moscow metropolitan area and known for its proximity to major transport hubs and industrial facilities.
  • E. Dmitrov
    Dmitrov is a historic town in Moscow Oblast, Russia, located north of Moscow and known for its medieval kremlin and role as a regional cultural center.
  • 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: Krasnogorsk
Triple: [Moscow Oblast, capital, Krasnogorsk]
Generated description
Krasnogorsk is a city in western Russia that serves as an important administrative and residential center just outside Moscow.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Krasnogorsk
Target entity description: Krasnogorsk is a city in western Russia that serves as an important administrative and residential center just outside Moscow.
  • A. Astapovo
    Astapovo is a small Russian railway station village historically known as the place where the writer Leo Tolstoy died in 1910.
  • B. Novo-Ogaryovo
    Novo-Ogaryovo is a suburban governmental estate outside Moscow that serves as one of the primary official residences of Russian President Vladimir Putin.
  • C. Krasnaya Sloboda
    Krasnaya Sloboda is a historic all-Jewish settlement in northern Azerbaijan, known as one of the world's only exclusively Mountain Jewish towns.
  • D. Khimki
    Khimki is a city in Moscow Oblast, Russia, forming part of the Moscow metropolitan area and known for its proximity to major transport hubs and industrial facilities.
  • E. Dmitrov
    Dmitrov is a historic town in Moscow Oblast, Russia, located north of Moscow and known for its medieval kremlin and role as a regional cultural center.
  • 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_69a4933e0f98819097d22766c49b61b8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a0953fb481909e1d4177ee191351 completed March 1, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac118aa3c48190be7ca68d17457ea8 completed March 7, 2026, 11:52 a.m.
NEDg Description generation batch_69ac11e8f598819083bd002de35fa856 completed March 7, 2026, 11:54 a.m.
NED2 Entity disambiguation (via description) batch_69ac124d385c8190b75ad3a7213a796f completed March 7, 2026, 11:55 a.m.
Created at: March 1, 2026, 7:36 p.m.