Triple

T15183912
Position Surface form Disambiguated ID Type / Status
Subject Togliatti E362817 entity
Predicate hasCompany P1287 FINISHED
Object AvtoVAZ E1141242 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: AvtoVAZ | Statement: [Togliatti, hasCompany, AvtoVAZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AvtoVAZ
Context triple: [Togliatti, hasCompany, AvtoVAZ]
  • A. AvtoVAZ automobile plant chosen
    The AvtoVAZ automobile plant is Russia’s largest car manufacturer, best known for producing Lada vehicles at its massive industrial complex in Togliatti.
  • B. Avtovo
    Avtovo is a renowned Saint Petersburg Metro station celebrated for its ornate, palace-like interior and distinctive Soviet-era architectural design.
  • C. Lada
    Lada is a Slavic goddess commonly associated with love, beauty, fertility, and the renewal of nature.
  • D. VAZ-2101
    The VAZ-2101 is a Soviet-era compact sedan produced by AvtoVAZ (marketed as the Lada 1200 and its variants), based on the Fiat 124 and widely known as one of the most iconic and ubiquitous cars in the Eastern Bloc.
  • E. GAZ (Gorky Automobile Plant)
    GAZ (Gorky Automobile Plant) is a major Russian automotive manufacturer historically known for producing trucks, buses, and passenger cars, including many iconic Soviet-era vehicles.
  • 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_69d85a09a39c81908759f23268e2d408 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e006674c088190ba635a78c30f5637 completed April 15, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed32e425c819083f10f947c258a9b completed May 9, 2026, 6:24 a.m.
Created at: April 10, 2026, 3:09 a.m.