Triple

T16927082
Position Surface form Disambiguated ID Type / Status
Subject Pivdennyi Buh E410601 entity
Predicate passesThrough P225 FINISHED
Object Khmelnytskyi Oblast 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: Khmelnytskyi Oblast | Statement: [Pivdennyi Buh, passesThrough, Khmelnytskyi Oblast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khmelnytskyi Oblast
Context triple: [Pivdennyi Buh, passesThrough, Khmelnytskyi Oblast]
  • A. Khmelnytskyi Oblast chosen
    Khmelnytskyi Oblast is an administrative region in western Ukraine known for its agricultural economy, historical towns, and location along important transport routes.
  • B. Ternopil Oblast
    Ternopil Oblast is an administrative region in western Ukraine known for its historic cities, castles, and predominantly agricultural landscape.
  • C. Ivano-Frankivsk Oblast
    Ivano-Frankivsk Oblast is an administrative region in western Ukraine known for its Carpathian Mountain landscapes, rich Hutsul culture, and historical cities.
  • D. Voroshylovhrad Oblast
    Voroshylovhrad Oblast was the Soviet-era name of the administrative region in eastern Ukraine now known as Luhansk Oblast.
  • E. Zhytomyr Oblast
    Zhytomyr Oblast is an administrative region in northern-central Ukraine known for its mixed forests, agricultural lands, and historical cities such as Zhytomyr.
  • 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_69d886c7b1e481908c3766dfa8c13458 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cdf2dcd881909798bd245e18c599 completed April 18, 2026, 6:31 p.m.
Created at: April 10, 2026, 5:30 a.m.