Triple

T2945903
Position Surface form Disambiguated ID Type / Status
Subject Vologda Oblast E79498 entity
Predicate ISO3166-2Code P208 FINISHED
Object RU-VLG
RU-VLG is the ISO 3166-2 subdivision code assigned to Vologda Oblast, a federal subject in northwestern Russia.
E312433 NE FINISHED

How this triple was built (4 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: RU-VLG | Statement: [Vologda Oblast, ISO3166-2Code, RU-VLG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RU-VLG
Context triple: [Vologda Oblast, ISO3166-2Code, RU-VLG]
  • A. Mordovia
    Mordovia is a republic of Russia located in the central Volga region, known for its Finno-Ugric Mordvin population and mixed industrial-agricultural economy.
  • B. RU-KOS
    RU-KOS is the ISO 3166-2 subdivision code assigned to Kostroma Oblast, a federal subject in central Russia.
  • C. Vladimir Oblast
    Vladimir Oblast is a federal subject of central Russia known for its historic cities, including Vladimir and Suzdal, which are part of the Golden Ring.
  • D. Udmurtia
    Udmurtia is a federal republic of Russia located in the Volga-Ural region, known for its diverse ethnic composition and Finno-Ugric and Turkic cultural influences.
  • 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. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: RU-VLG
Triple: [Vologda Oblast, ISO3166-2Code, RU-VLG]
Generated description
RU-VLG is the ISO 3166-2 subdivision code assigned to Vologda Oblast, a federal subject in northwestern Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: RU-VLG
Target entity description: RU-VLG is the ISO 3166-2 subdivision code assigned to Vologda Oblast, a federal subject in northwestern Russia.
  • A. Mordovia
    Mordovia is a republic of Russia located in the central Volga region, known for its Finno-Ugric Mordvin population and mixed industrial-agricultural economy.
  • B. RU-KOS
    RU-KOS is the ISO 3166-2 subdivision code assigned to Kostroma Oblast, a federal subject in central Russia.
  • C. Vladimir Oblast
    Vladimir Oblast is a federal subject of central Russia known for its historic cities, including Vladimir and Suzdal, which are part of the Golden Ring.
  • D. Udmurtia
    Udmurtia is a federal republic of Russia located in the Volga-Ural region, known for its diverse ethnic composition and Finno-Ugric and Turkic cultural influences.
  • 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. chosen

Provenance (5 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_69ad8b1089588190b74d9e2505e45762 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad98b3f86c819094526c2af611bfb5 completed March 8, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b08692105c81908a3a146376b7417f completed March 10, 2026, 9:01 p.m.
NEDg Description generation batch_69b0d55128fc8190919354199e4c21bf completed March 11, 2026, 2:37 a.m.
NED2 Entity disambiguation (via description) batch_69b0d5f35adc81909af0a7cafbeb92de completed March 11, 2026, 2:39 a.m.
Created at: March 8, 2026, 2:56 p.m.