Triple

T13669691
Position Surface form Disambiguated ID Type / Status
Subject Igor Larionov E327715 entity
Predicate placeOfBirth P1 FINISHED
Object Voskresensk E138871 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: Voskresensk | Statement: [Igor Larionov, placeOfBirth, Voskresensk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Voskresensk
Context triple: [Igor Larionov, placeOfBirth, Voskresensk]
  • A. Voskresensk chosen
    Voskresensk is a town in Moscow Oblast, Russia, known for its industrial base and strong ice hockey tradition.
  • B. Bogoroditsk
    Bogoroditsk is a small historic town in western Russia known for its 18th-century palace-and-park ensemble and its role as a local industrial and cultural center.
  • C. Bogorodsk
    Bogorodsk is a historic Russian town that developed as a regional center of trade and crafts within the former Moscow Governorate.
  • D. Yakutsk Ostrog
    Yakutsk Ostrog was a 17th-century Russian fortified settlement in Siberia that served as the original military and administrative outpost from which the modern city of Yakutsk developed.
  • E. Krestinsky
    Krestinsky is a Russian surname most notably associated with Nikolai Krestinsky, a Soviet politician and diplomat active during the early years of the USSR.
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc65832688190aea688fee0a7cbdb completed April 12, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78b0f56048190bcbc6581a8cdc0f5 completed May 3, 2026, 5:51 p.m.
Created at: April 9, 2026, 9:53 p.m.