Triple

T10083160
Position Surface form Disambiguated ID Type / Status
Subject Cherkasy Oblast E213950 entity
Predicate hasCityStatus P3422 FINISHED
Object Horodyshche E886774 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: Horodyshche | Statement: [Cherkasy Oblast, hasCityStatus, Horodyshche]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Horodyshche
Context triple: [Cherkasy Oblast, hasCityStatus, Horodyshche]
  • A. Horodyshche chosen
    Horodyshche is a town in central Ukraine known as a local administrative and cultural center within the Cherkasy region.
  • B. Horokhiv
    Horokhiv is a small town in western Ukraine known for its location within the historic Volyn region.
  • C. Chortkiv
    Chortkiv is a historic town in western Ukraine known for its architectural landmarks and role as a local cultural and administrative center.
  • D. Horlivka
    Horlivka is an industrial city in eastern Ukraine’s Donetsk region, known for its coal mining and chemical industries and its location within the contested Donbas area.
  • E. Kolodiazhne
    Kolodiazhne is a village in northwestern Ukraine known for being closely associated with the life and creative work of the renowned poet Lesya Ukrainka.
  • 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_69ca839bf730819086900c323c9b8c95 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd04352d081908f676444cd2d2578 completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23aeb6f9c8190a986af35bcf353f7 completed April 17, 2026, 1:51 p.m.
Created at: March 30, 2026, 9 p.m.