Triple

T5631446
Position Surface form Disambiguated ID Type / Status
Subject Avtomobilist Sverdlovsk E147840 entity
Predicate partOfSportsCultureOf P958 FINISHED
Object Sverdlovsk E585417 NE FINISHED

How this triple was built (3 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: Sverdlovsk | Statement: [Avtomobilist Sverdlovsk, partOfSportsCultureOf, Sverdlovsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sverdlovsk
Context triple: [Avtomobilist Sverdlovsk, partOfSportsCultureOf, Sverdlovsk]
  • A. Sverdlovsk chosen
    Sverdlovsk is the former name of Yekaterinburg, a major industrial and cultural city in Russia’s Ural region.
  • B. Kirov
    Kirov is the revolutionary pseudonym of Sergei Kirov, a prominent early Soviet political leader and close associate of Joseph Stalin.
  • C. Kirov
    Kirov is a town in Kaluga Oblast, Russia, known as a local administrative and industrial center.
  • D. Izhevsk
    Izhevsk is a major industrial city in western Russia, best known as a center of arms manufacturing and the capital of the Udmurt Republic.
  • E. Nizhny Tagil
    Nizhny Tagil is a major industrial city in Russia’s Sverdlovsk Oblast, historically known for its metallurgical plants and role in the country’s heavy industry.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: partOfSportsCultureOf
Context triple: [Avtomobilist Sverdlovsk, partOfSportsCultureOf, Sverdlovsk]
  • A. associatedWithStateSportsCulture
    Indicates a relationship in which something is connected to, influenced by, or representative of a particular state’s sports traditions, practices, or fan culture.
  • B. supporterCulture
    Indicates a relationship where an entity’s culture, norms, or practices are shaped by, aligned with, or strongly influenced by its supporters or fan base.
  • C. nationalSportContext
    Indicates that a particular sport is recognized or designated as the national sport of a given country or region within a specific contextual framework.
  • D. nationalSport
    Indicates that a particular sport is officially recognized as the primary or representative sport of a country or nation.
  • E. hasCulturalSignificanceFor chosen
    Indicates that something holds particular cultural meaning, value, or importance for a specified group or community.
  • F. None of above.

Provenance (4 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_69c00907bc8881909ed760d3ed73ef35 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0225cdcdc819095034f12c39ef755 completed March 22, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c65373f5388190bb2da987d6d24d23 completed March 27, 2026, 9:52 a.m.
PD Predicate disambiguation batch_69c01b1f12ec8190b4b9d9ee31cabe19 completed March 22, 2026, 4:38 p.m.
Created at: March 22, 2026, 3:40 p.m.