Triple

T12084594
Position Surface form Disambiguated ID Type / Status
Subject Ostashkov camp E287773 entity
Predicate locatedIn P40 FINISHED
Object Kalinin 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: Kalinin Oblast | Statement: [Ostashkov camp, locatedIn, Kalinin Oblast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kalinin Oblast
Context triple: [Ostashkov camp, locatedIn, Kalinin Oblast]
  • A. Kalinin Oblast chosen
    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.
  • B. Kaluga Oblast
    Kaluga Oblast is a federal subject of western Russia known for its historical cities, space industry heritage, and location southwest of Moscow.
  • 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. Kurgan Oblast
    Kurgan Oblast is a federal subject of Russia located in the southern part of the Ural region, known for its agricultural economy and steppe landscapes.
  • E. Kirov Oblast
    Kirov Oblast is a federal subject of Russia located in the Volga-Vyatka region, known for its extensive forests, agricultural activities, and the administrative center city of Kirov.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d91513bbb0819084a8bb877e03060c completed April 10, 2026, 3:19 p.m.
Created at: April 8, 2026, 9:48 p.m.