Triple

T7851649
Position Surface form Disambiguated ID Type / Status
Subject Kirovsk E182067 entity
Predicate administrativeCenterOf P383 FINISHED
Object Kirovsk Urban Okrug E182067 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: Kirovsk Urban Okrug | Statement: [Kirovsk, administrativeCenterOf, Kirovsk Urban Okrug]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kirovsk Urban Okrug
Context triple: [Kirovsk, administrativeCenterOf, Kirovsk Urban Okrug]
  • A. Krasnogorsk Urban Okrug
    Krasnogorsk Urban Okrug is a municipal formation in Moscow Oblast, Russia, centered around the city of Krasnogorsk and forming part of the greater Moscow metropolitan area.
  • B. Kirovsk chosen
    Kirovsk is an industrial town in Russia’s Murmansk Oblast, known for its mining industry and location in the Khibiny Mountains on the Kola Peninsula.
  • C. Kirovsk
    Kirovsk is a small industrial town in northwestern Russia, situated near Saint Petersburg along the Neva River.
  • D. Tyndinsky urban okrug
    Tyndinsky urban okrug is a municipal formation in Amur Oblast, Russia, that includes the town of Tynda and its surrounding territory.
  • E. Kirovsky District
    Kirovsky District is an administrative and municipal district in Leningrad Oblast, Russia, located east of Saint Petersburg along the Neva River.
  • 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_69ca82869ee08190b8f9040dbc2c0467 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb18ec48548190960bd564a60effa8 completed March 31, 2026, 12:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b0d95748190a202258214dda2ae completed March 31, 2026, 5:26 a.m.
Created at: March 30, 2026, 4:51 p.m.