Triple

T19986265
Position Surface form Disambiguated ID Type / Status
Subject Bilibinsky District E493938 entity
Predicate administrativeCenter P1474 FINISHED
Object Bilibino 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: Bilibino | Statement: [Bilibinsky District, administrativeCenter, Bilibino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bilibino
Context triple: [Bilibinsky District, administrativeCenter, Bilibino]
  • A. Bilibino chosen
    Bilibino is a small town in Russia’s Far East best known for hosting one of the world’s northernmost nuclear power plants.
  • B. Wakkanai
    Wakkanai is Japan’s northernmost city, located on the island of Hokkaido and known as a gateway to nearby Russian territories across the sea.
  • C. Ust-Kut
    Ust-Kut is a town in Irkutsk Oblast, Russia, located on the Lena River and known as a regional transport hub with river port and railway connections.
  • D. Karesuando
    Karesuando is a remote village in northern Sweden, situated in the Arctic region near the Finnish border and known as one of the country’s northernmost settlements.
  • E. Kutchan
    Kutchan is a town in Hokkaido, Japan, known as a major access point to the Niseko ski resort area and for its heavy snowfall and potato farming.
  • 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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65d16f60c81909ba02c0a3429ecae completed April 20, 2026, 5:06 p.m.
Created at: April 11, 2026, 3:29 p.m.