Triple

T10681381
Position Surface form Disambiguated ID Type / Status
Subject Metrovagonmash E251763 entity
Predicate headquartersLocation P62 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: [Metrovagonmash, headquartersLocation, Mytishchi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mytishchi
Context triple: [Metrovagonmash, headquartersLocation, 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. Yamburg
    Yamburg is the former name of the Russian town now known as Kingisepp, located in Leningrad Oblast near the border with Estonia.
  • E. Mishaninskaya
    Mishaninskaya is a rural locality in Russia best known as the birthplace of the polymath and scientist Mikhail Lomonosov.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fcc1b8d4819082fde22db39d8b24 completed April 9, 2026, 1:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbb6fa3f54819081910a2589ddbc99 completed April 12, 2026, 3:15 p.m.
Created at: April 8, 2026, 9:10 p.m.