Triple

T8298199
Position Surface form Disambiguated ID Type / Status
Subject Alma River E194275 entity
Predicate locatedIn P40 FINISHED
Object Belogorsky District E486468 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: Belogorsky District | Statement: [Alma River, locatedIn, Belogorsky District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belogorsky District
Context triple: [Alma River, locatedIn, Belogorsky District]
  • A. Belogorsky District chosen
    Belogorsky District is an administrative district in Amur Oblast, Russia, for which the town of Belogorsk serves as the administrative center.
  • B. Begovoy District
    Begovoy District is an administrative district in Moscow, Russia, known for its mix of residential areas, office buildings, and major transport routes.
  • C. Babushkinsky District
    Babushkinsky District is a residential administrative district in the northeastern part of Moscow, Russia, known for its urban neighborhoods and proximity to green areas and waterways.
  • D. Vyazemsky District
    Vyazemsky District is an administrative and municipal district in Khabarovsk Krai, Russia, known for its location in the Russian Far East and its center in the town of Vyazemsky.
  • E. Noginsky District
    Noginsky District is an administrative and municipal district in Moscow Oblast, Russia, centered around the town of Noginsk and encompassing surrounding settlements.
  • 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_69ca82e50ebc81909aa7b260c76bd757 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7dfa040c8190ab801b3910e39142 completed March 31, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc6dc4008819084eff0960917494c completed April 2, 2026, 1:31 a.m.
Created at: March 30, 2026, 5:53 p.m.