Triple

T8982265
Position Surface form Disambiguated ID Type / Status
Subject Kirovohrad Oblast E214559 entity
Predicate containsCity P294 FINISHED
Object Kropyvnytskyi E207388 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: Kropyvnytskyi | Statement: [Kirovohrad Oblast, containsCity, Kropyvnytskyi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kropyvnytskyi
Context triple: [Kirovohrad Oblast, containsCity, Kropyvnytskyi]
  • A. Kropyvnytskyi chosen
    Kropyvnytskyi is a regional city in central Ukraine known as an important administrative, cultural, and transportation center.
  • B. Vinnytsia
    Vinnytsia is a major city in central Ukraine known as an important administrative, economic, and cultural center on the Southern Bug River.
  • C. Khmelnytskyi
    Khmelnytskyi is a regional city in western Ukraine known as an important administrative, economic, and cultural center.
  • D. Ivano-Frankivsk
    Ivano-Frankivsk is a historic city in western Ukraine known as a cultural, economic, and administrative center of the Carpathian region.
  • E. Чернігів
    Чернігів — одне з найстаріших міст України, розташоване на півночі країни над Десною, відоме своєю давньоруською історією та архітектурними пам’ятками.
  • 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_69ca839ea8b88190922c6a326ffcc0d3 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc67a891e881909e4b84ed82491651 completed April 1, 2026, 12:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69d316e50b548190b5f90a9753ad7cb0 completed April 6, 2026, 2:13 a.m.
Created at: March 30, 2026, 7:03 p.m.