Triple

T3399588
Position Surface form Disambiguated ID Type / Status
Subject Kursk Institute of Land Management E71615 entity
Predicate locatedIn P40 FINISHED
Object Kursk Oblast E451366 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: Kursk Oblast | Statement: [Kursk Institute of Land Management, locatedIn, Kursk Oblast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kursk Oblast
Context triple: [Kursk Institute of Land Management, locatedIn, Kursk Oblast]
  • A. Kursk Oblast chosen
    Kursk Oblast is a federal subject of western Russia known for its agricultural production, iron ore deposits, and the historic World War II Battle of Kursk.
  • B. Kursk Governorate
    Kursk Governorate was an administrative division of the Russian Empire located in western Russia, centered around the city of Kursk.
  • 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. Kirov Oblast
    Kirov Oblast is a federal subject of Russia located in the Volga-Vyatka region, known for its extensive forests, agricultural activities, and the administrative center city of Kirov.
  • 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 (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_69ad85aac4808190a092c9cc8911f584 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb8c6b2b08190a307e33c74cf21ad completed March 8, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c93a3a7cbc8190a7f183d8a5bb4b06 completed March 29, 2026, 2:42 p.m.
Created at: March 8, 2026, 3:14 p.m.