Triple

T23050872
Position Surface form Disambiguated ID Type / Status
Subject Udmurt ASSR E574007 entity
Predicate majorCity P316 FINISHED
Object Izhevsk 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: Izhevsk | Statement: [Udmurt ASSR, majorCity, Izhevsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Izhevsk
Context triple: [Udmurt ASSR, majorCity, Izhevsk]
  • A. Izhevsk chosen
    Izhevsk is a major industrial city in western Russia, best known as a center of arms manufacturing and the capital of the Udmurt Republic.
  • B. Simbirsk
    Simbirsk is a historic Russian city on the Volga River, best known today as Ulyanovsk, the birthplace of Vladimir Lenin and other notable political figures.
  • C. Penza
    Penza is a city in western Russia known as a regional cultural and industrial center.
  • D. Lipetsk
    Lipetsk is a major industrial city in western Russia, known for its steel production and status as the administrative center of Lipetsk Oblast.
  • E. Tolyatti
    Tolyatti is a major industrial city in Russia on the Volga River, best known as the home of the AvtoVAZ automobile plant that produces Lada cars.
  • 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_69e245b9c11481909d06c872214d21af completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1867c443081909588262bc90748af completed April 29, 2026, 4:18 a.m.
Created at: April 17, 2026, 3:54 p.m.