Triple

T4103644
Position Surface form Disambiguated ID Type / Status
Subject Kolomna Kremlin E88396 entity
Predicate governingBody P46 FINISHED
Object Kolomna city authorities E119163 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: Kolomna city authorities | Statement: [Kolomna Kremlin, governingBody, Kolomna city authorities]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kolomna city authorities
Context triple: [Kolomna Kremlin, governingBody, Kolomna city authorities]
  • A. Kolomna chosen
    Kolomna is a historic Russian city southeast of Moscow, known for its well-preserved kremlin, medieval architecture, and traditional pastila confectionery.
  • B. city of Gavrilov-Yam
    The city of Gavrilov-Yam is a small industrial and cultural center in central Russia, known historically for its textile and yarn production.
  • C. Kolomenskaya
    Kolomenskaya is a Moscow Metro station on the Zamoskvoretskaya Line, serving the Kolomenskoye area in the southern part of the city.
  • D. city of Poshekhonye
    The city of Poshekhonye is a small historic town in central Russia known for its traditional cheese production and location along the Sogozha River.
  • E. city of Tutaev
    The city of Tutaev is a historic town on the Volga River in central Russia, known for its preserved old architecture and role as a cultural center within Yaroslavl Oblast.
  • 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_69aed9484fb881909146f4c772ad277c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefd116dac8190952cb2ddf63216ec completed March 9, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b7a917c8190914a5ffe1297fdc8 completed March 14, 2026, 2:06 p.m.
Created at: March 9, 2026, 3:40 p.m.