Triple

T3688239
Position Surface form Disambiguated ID Type / Status
Subject Северо-Западный федеральный округ E78276 entity
Predicate включает крупный город P316 FINISHED
Object Санкт-Петербург LITERAL 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: Санкт-Петербург | Statement: [Северо-Западный федеральный округ, включает крупный город, Санкт-Петербург]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: включает крупный город
Context triple: [Северо-Западный федеральный округ, включает крупный город, Санкт-Петербург]
  • A. hasMajorCity chosen
    Indicates that a location possesses at least one city of significant size, importance, or influence within its region or country.
  • B. containsUrbanArea
    Indicates that a geographic region fully or partially encompasses an urbanized area within its boundaries.
  • C. majorUrbanCenterIn
    Indicates that a city or metropolitan area functions as a primary or significant urban center within the specified region or administrative unit.
  • D. hasMajorCityRole
    Indicates that an entity plays a significant official or functional role in the governance, administration, or key operations of a major city.
  • E. notableCityIncluded
    Indicates that a notable or significant city is contained within, or is part of, a larger geographic or administrative entity.
  • F. None of above.

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.
PD Predicate disambiguation batch_69adb84be1fc81909721c871babb4633 completed March 8, 2026, 5:56 p.m.
Created at: March 8, 2026, 3:26 p.m.