Triple

T3436723
Position Surface form Disambiguated ID Type / Status
Subject Yekaterinoslav Governorate E72469 entity
Predicate borderedBy P224 FINISHED
Object Don Host Oblast E229104 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: Don Host Oblast | Statement: [Yekaterinoslav Governorate, borderedBy, Don Host Oblast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don Host Oblast
Context triple: [Yekaterinoslav Governorate, borderedBy, Don Host Oblast]
  • A. Don Host Oblast chosen
    Don Host Oblast was a historical administrative region of the Russian Empire centered on the lands of the Don Cossacks in southern Russia.
  • B. Kalinin Oblast
    Kalinin Oblast was a Soviet-era administrative region in western Russia, centered on the city of Kalinin (now Tver), that existed from 1935 until it was renamed Tver Oblast in 1990.
  • C. Vladimir Oblast
    Vladimir Oblast is a federal subject of central Russia known for its historic cities, including Vladimir and Suzdal, which are part of the Golden Ring.
  • D. Kaluga Oblast
    Kaluga Oblast is a federal subject of western Russia known for its historical cities, space industry heritage, and location southwest of Moscow.
  • E. Tula Oblast
    Tula Oblast is a federal subject of Russia located south of Moscow, known for its industrial centers, historical significance, and the city of Tula, famous for samovars and gingerbread.
  • 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_69ad85af50288190a854b76653deee6f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb9f4398c8190a75822068308037b completed March 8, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69b360cbcb60819095a28e50cac5a4ca completed March 13, 2026, 12:56 a.m.
Created at: March 8, 2026, 3:16 p.m.