Triple

T15655337
Position Surface form Disambiguated ID Type / Status
Subject Mordvinic languages E376423 entity
Predicate region P40 FINISHED
Object Nizhny Novgorod Oblast 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: Nizhny Novgorod Oblast | Statement: [Mordvinic languages, region, Nizhny Novgorod Oblast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nizhny Novgorod Oblast
Context triple: [Mordvinic languages, region, Nizhny Novgorod Oblast]
  • A. Nizhny Novgorod Oblast chosen
    Nizhny Novgorod Oblast is a federal subject of central Russia known for its major industrial centers, historical cities, and strategic location along the Volga River.
  • B. Moscow Oblast
    Moscow Oblast is a federal subject of Russia that surrounds, but does not include, the city of Moscow and serves as a major industrial and population center in western Russia.
  • C. Ryazan Oblast
    Ryazan Oblast is a federal subject of central Russia known for its historic cities, agricultural landscapes, and location along the Oka River southeast of Moscow.
  • D. Penza Oblast
    Penza Oblast is a federal subject of central Russia known for its agricultural economy, mixed forests, and role as a regional industrial and cultural center.
  • E. Voronezh Oblast
    Voronezh Oblast is a federal subject of Russia in the country’s southwest, known for its administrative center Voronezh and its role as an important agricultural and industrial region.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ef1f83c8190bbf65eed162cbd55 completed April 16, 2026, 2:52 a.m.
Created at: April 10, 2026, 4:15 a.m.