Triple

T3688243
Position Surface form Disambiguated ID Type / Status
Subject Северо-Западный федеральный округ E78276 entity
Predicate включает крупный город P316 FINISHED
Object Вологда E452953 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: Вологда | Statement: [Северо-Западный федеральный округ, включает крупный город, Вологда]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Вологда
Context triple: [Северо-Западный федеральный округ, включает крупный город, Вологда]
  • A. Vologda chosen
    Vologda is a historic city in northwestern Russia known for its well-preserved wooden architecture, ancient monasteries, and traditional lace-making.
  • B. Voronezh
    Voronezh is a major city in southwestern Russia, situated on the Voronezh River and serving as an important cultural, industrial, and transportation center.
  • C. Penza
    Penza is a city in western Russia known as a regional cultural and industrial center.
  • D. Ryazan
    Ryazan is a historic city in western Russia known for its medieval kremlin, role as a regional cultural and economic center, and legacy as one of the country’s oldest urban settlements.
  • E. Kostroma
    Kostroma is a historic Russian city northeast of Moscow, known as part of the Golden Ring and for its well-preserved medieval architecture and monasteries.
  • 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_69ad85e285a081908f8cbfa9e2ed9b75 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4c960788190b73ede08658846aa completed March 8, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf832772d08190842b1e1c1a87ea3a completed March 22, 2026, 5:50 a.m.
Created at: March 8, 2026, 3:26 p.m.