Triple

T19388580
Position Surface form Disambiguated ID Type / Status
Subject Kurgan Oblast E484998 entity
Predicate hasCity P316 FINISHED
Object Shadrinsk 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: Shadrinsk | Statement: [Kurgan Oblast, hasCity, Shadrinsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shadrinsk
Context triple: [Kurgan Oblast, hasCity, Shadrinsk]
  • A. Shadrinsk chosen
    Shadrinsk is a town in Kurgan Oblast, Russia, known as an industrial and cultural center in the southern Ural region.
  • B. Yalutorovsk
    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.
  • C. Yuzovka
    Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
  • D. Kopeysk
    Kopeysk is an industrial city in Russia known for its coal mining history and location near the regional center of Chelyabinsk in the Ural region.
  • E. Nevyansk
    Nevyansk is a historic town in Russia’s Ural region, best known for its 18th-century Leaning Tower of Nevyansk and its role in early Russian industrial development.
  • 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_69d8e8d460d88190abf0591c5c9d2b0c completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e61b425e848190ab5ae8ae0a034fe2 completed April 20, 2026, 12:25 p.m.
Created at: April 10, 2026, 1:36 p.m.