Triple

T644288
Position Surface form Disambiguated ID Type / Status
Subject Elisavetpol Governorate E11206 entity
Predicate contains P35 FINISHED
Object Aresh uezd E93495 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: Aresh uezd | Statement: [Elisavetpol Governorate, contains, Aresh uezd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aresh uezd
Context triple: [Elisavetpol Governorate, contains, Aresh uezd]
  • A. Jevanshir uezd chosen
    Jevanshir uezd was an administrative district of the Russian Empire located in the South Caucasus within the Elisavetpol Governorate.
  • B. Yaroslavl Oblast
    Yaroslavl Oblast is a federal subject of central Russia known for its historic cities along the Volga River and its role as part of the country’s Golden Ring tourist route.
  • C. Kostroma Oblast
    Kostroma Oblast is a federal subject in central Russia known for its historic towns and forests, situated along the middle reaches of the Volga River.
  • D. Vologda Oblast
    Vologda Oblast is a federal subject of Russia known for its historic cities, traditional wooden architecture, and significant timber and metallurgy industries in the country’s northwest.
  • E. Northwestern Federal Okrug
    Northwestern Federal Okrug is one of Russia’s federal districts, encompassing the country’s northwestern regions including the city of Saint Petersburg.
  • 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_69a493266a2881909daf4c40f719dee8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49f18216081908331aa12dac40214 completed March 1, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d6cdc9c81909eb3240c00fa530d completed March 3, 2026, 11:23 p.m.
Created at: March 1, 2026, 7:36 p.m.