Triple

T17057868
Position Surface form Disambiguated ID Type / Status
Subject Savva Mamontov E413871 entity
Predicate placeOfBirth P1 FINISHED
Object Yalutorovsk NE NERFINISHED

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: Yalutorovsk | Statement: [Savva Mamontov, placeOfBirth, Yalutorovsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yalutorovsk
Context triple: [Savva Mamontov, placeOfBirth, Yalutorovsk]
  • A. Yalutorovsk chosen
    Yalutorovsk is a historic town in western Siberia, Russia, known for its 17th-century origins as a fortress settlement and its location on the Tobol River.
  • B. Yuzovka
    Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
  • C. Makeyevka
    Makeyevka is an industrial city in eastern Ukraine’s Donetsk Oblast, historically known for its coal mining and metallurgical industries.
  • D. Petrovskoye
    Petrovskoye was the original Russian fortress settlement that later developed into the modern city of Makhachkala in Dagestan, Russia.
  • E. Yelizovo
    Yelizovo is a town on Russia’s Kamchatka Peninsula that functions as a key regional hub and gateway to the area’s volcanic and natural attractions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d886cde3d481908d4d01ba88ba7eb7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3db7b553c81908ec70ba0d0988710 completed April 18, 2026, 7:28 p.m.
Created at: April 10, 2026, 5:34 a.m.