Triple

T2708917
Position Surface form Disambiguated ID Type / Status
Subject Nizhny Novgorod Oblast E59809 entity
Predicate hasMajorCity P316 FINISHED
Object Sarov
Sarov is a closed Russian city in Nizhny Novgorod Oblast known as a major center for nuclear research and weapons development.
 E290967 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: Sarov | Statement: [Nizhny Novgorod Oblast, hasMajorCity, Sarov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sarov
Context triple: [Nizhny Novgorod Oblast, hasMajorCity, Sarov]
  • A. Dubna
    Dubna is a Russian town in the Moscow Oblast best known as a major center for nuclear research and home to the Joint Institute for Nuclear Research.
  • B. Odintsovo
    Odintsovo is a town in western Russia that serves as an important suburban center just outside Moscow.
  • C. 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.
  • D. Pripyat
    Pripyat is a major Eastern European river flowing through Ukraine and Belarus, historically significant as a waterway in the Dnieper basin and known for passing near the Chernobyl Exclusion Zone.
  • E. Krasnogorsk
    Krasnogorsk is a city in western Russia that serves as an important administrative and residential center just outside Moscow.
  • 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: Sarov
Triple: [Nizhny Novgorod Oblast, hasMajorCity, Sarov]
Generated description
Sarov is a closed Russian city in Nizhny Novgorod Oblast known as a major center for nuclear research and weapons development.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sarov
Target entity description: Sarov is a closed Russian city in Nizhny Novgorod Oblast known as a major center for nuclear research and weapons development.
  • A. Dubna
    Dubna is a Russian town in the Moscow Oblast best known as a major center for nuclear research and home to the Joint Institute for Nuclear Research.
  • B. Odintsovo
    Odintsovo is a town in western Russia that serves as an important suburban center just outside Moscow.
  • C. 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.
  • D. Pripyat
    Pripyat is a major Eastern European river flowing through Ukraine and Belarus, historically significant as a waterway in the Dnieper basin and known for passing near the Chernobyl Exclusion Zone.
  • E. Krasnogorsk
    Krasnogorsk is a city in western Russia that serves as an important administrative and residential center just outside Moscow.
  • 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_69ab4ac92a088190bc74bca14038e3de completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda7542548190bbf6c947145f7f63 completed March 7, 2026, 7:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf7f99508190acfd00baec64b7e9 completed March 10, 2026, 5:43 a.m.
NEDg Description generation batch_69afb02d8ff08190af2224c03b762c68 completed March 10, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69afb0ae71888190ab0675b7897f1589 completed March 10, 2026, 5:48 a.m.
Created at: March 6, 2026, 9:55 p.m.