Triple

T17109279
Position Surface form Disambiguated ID Type / Status
Subject Krasnoye Sormovo Factory E415181 entity
Predicate hasRussianName P20560 FINISHED
Object Красное Сормово E754552 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: Красное Сормово | Statement: [Krasnoye Sormovo Factory, hasRussianName, Красное Сормово]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Красное Сормово
Context triple: [Krasnoye Sormovo Factory, hasRussianName, Красное Сормово]
  • A. Krasnoye Sormovo chosen
    Krasnoye Sormovo is a major Russian shipbuilding enterprise based in Nizhny Novgorod, historically known for constructing warships, submarines, and commercial vessels.
  • B. Vyatskoye
    Vyatskoye is a rural locality in Russia’s Khabarovsk Krai, historically noted as the birthplace of North Korean leader Kim Jong Il.
  • 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. Sestroretsk
    Sestroretsk is a town in northwestern Russia, now part of Saint Petersburg, historically known for its arms factory and seaside resort area on the Gulf of Finland.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dc2906a081909d0d43cf04319f52 completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a013a03e2e48190a0b631dd8f6f8a24 completed May 11, 2026, 2:08 a.m.
Created at: April 10, 2026, 5:35 a.m.