Triple

T8024713
Position Surface form Disambiguated ID Type / Status
Subject Atlant Moscow Oblast E186823 entity
Predicate basedIn P40 FINISHED
Object Mytishchi E101138 NE FINISHED

How this triple was built (2 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: Mytishchi | Statement: [Atlant Moscow Oblast, basedIn, Mytishchi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mytishchi
Context triple: [Atlant Moscow Oblast, basedIn, Mytishchi]
  • A. Mytishchi chosen
    Mytishchi is a city in western Russia that serves as a major suburban and industrial center just northeast of Moscow.
  • B. Otradnoye
    Otradnoye is a town in Russia located within the Leningrad (Saint Petersburg) region, known for its position along the Neva River and proximity to Saint Petersburg.
  • C. Otradnoye
    Otradnoye is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line serving the Otradnoye District in northern Moscow.
  • D. Mishaninskaya
    Mishaninskaya is a rural locality in Russia best known as the birthplace of the polymath and scientist Mikhail Lomonosov.
  • E. Kapustin Yar
    Kapustin Yar is a Russian military rocket launch and development site historically used for early Soviet missile and space tests.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca82ad4e2c8190a693e3c9e30fe66f completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3e90c7348190abc1013a312e4f1a completed March 31, 2026, 3:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63c6a9208190841ed55b8c6ec73f completed April 1, 2026, 12:16 a.m.
Created at: March 30, 2026, 5:21 p.m.