Triple

T8391766
Position Surface form Disambiguated ID Type / Status
Subject Svityaz Lake E197959 entity
Predicate locatedIn P40 FINISHED
Object Volyn Oblast E37952 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: Volyn Oblast | Statement: [Svityaz Lake, locatedIn, Volyn Oblast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Volyn Oblast
Context triple: [Svityaz Lake, locatedIn, Volyn Oblast]
  • A. Volyn Oblast chosen
    Volyn Oblast is an administrative region in northwestern Ukraine, bordering Poland and Belarus, known for its historic cities, forests, and lakes.
  • B. 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.
  • C. Drohobych Oblast
    Drohobych Oblast was an administrative region of the Ukrainian SSR centered on the city of Drohobych that existed in the mid-20th century before being merged into Lviv Oblast.
  • D. Cherkasy Oblast
    Cherkasy Oblast is an administrative region in central Ukraine known for its agricultural production, historical sites, and location along the Dnieper River.
  • E. Khmelnytskyi Oblast
    Khmelnytskyi Oblast is an administrative region in western Ukraine known for its agricultural economy, historical towns, and location along important transport routes.
  • 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_69ca82f749388190bffbea6dfb509016 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb810e16b081908e2c25bfb9d590ed completed March 31, 2026, 8:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d189c795d48190ba80739d07bc899c completed April 4, 2026, 9:59 p.m.
Created at: March 30, 2026, 6:03 p.m.