Triple

T1847945
Position Surface form Disambiguated ID Type / Status
Subject Dniester E41326 entity
Predicate passesThrough P225 FINISHED
Object Ternopil Oblast E237032 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: Ternopil Oblast | Statement: [Dniester, passesThrough, Ternopil Oblast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ternopil Oblast
Context triple: [Dniester, passesThrough, Ternopil Oblast]
  • A. Ternopil Oblast chosen
    Ternopil Oblast is an administrative region in western Ukraine known for its historic cities, castles, and predominantly agricultural landscape.
  • B. 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.
  • C. Khmelnytskyi Oblast
    Khmelnytskyi Oblast is an administrative region in western Ukraine known for its agricultural economy, historical towns, and location along important transport routes.
  • D. Vinnytsia Oblast
    Vinnytsia Oblast is an administrative region in central Ukraine known for its agricultural economy, historical cities, and role as a key transportation hub.
  • E. Cherkasy Oblast
    Cherkasy Oblast is an administrative region in central Ukraine known for its agricultural production, historical sites, and location along the Dnieper River.
  • 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_69a88648cd44819093303206d96d76ad completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb05412a08190855ea453d1264ea3 completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb65e6d588190ad1a33a92785fd91 completed March 10, 2026, 6:12 a.m.
Created at: March 4, 2026, 7:33 p.m.