Triple

T20229473
Position Surface form Disambiguated ID Type / Status
Subject Orikhiv sector E495476 entity
Predicate near P350 FINISHED
Object Huliaipole sector 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: Huliaipole sector | Statement: [Orikhiv sector, near, Huliaipole sector]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huliaipole sector
Context triple: [Orikhiv sector, near, Huliaipole sector]
  • A. Huliaipole region chosen
    The Huliaipole region is a historical area in southeastern Ukraine best known as a center of the Makhnovist anarchist movement during the Ukrainian War of Independence.
  • B. Kimironko sector
    Kimironko sector is an urban administrative area in Kigali, Rwanda, known for its bustling market and residential neighborhoods.
  • C. Orel sector
    The Orel sector was a key area on the Eastern Front during World War II, notable for intense fighting between Soviet and German forces, especially around the Battle of Kursk.
  • D. Buiucani sector
    Buiucani sector is an administrative district of Chișinău, Moldova, known for its residential neighborhoods, parks, and educational institutions.
  • E. Vihorlat-Gutin Area
    The Vihorlat-Gutin Area is a volcanic mountain region in the Eastern Carpathians spanning parts of Slovakia and Ukraine, known for its forested peaks and protected natural landscapes.
  • 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_69da626cff80819097b530718a7c98b6 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66fdc2590819089a946d16c6c0e59 completed April 20, 2026, 6:26 p.m.
Created at: April 11, 2026, 11:39 p.m.