Triple

T19281828
Position Surface form Disambiguated ID Type / Status
Subject EGP-6 at Bilibino Nuclear Power Plant E482206 entity
Predicate serves P98 FINISHED
Object Bilibino town 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 town | Statement: [EGP-6 at Bilibino Nuclear Power Plant, serves, Bilibino town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bilibino town
Context triple: [EGP-6 at Bilibino Nuclear Power Plant, serves, Bilibino town]
  • 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. Kutchan Town
    Kutchan Town is a snowy resort town in Hokkaido, Japan, known for its proximity to the Niseko ski area and heavy winter snowfall.
  • C. Hydaburg
    Hydaburg is a small city on Prince of Wales Island in Alaska known as a central community for the Haida people and their culture.
  • D. Taku City
    Taku City is a municipality in Saga Prefecture, Japan, known for its historic sites and traditional Japanese townscape.
  • E. Minamisanriku Town
    Minamisanriku Town is a coastal municipality in northeastern Japan known for being heavily affected by the 2011 Tōhoku earthquake and tsunami and its subsequent reconstruction efforts.
  • 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_69d8e8cf61b0819096fe3e4107827c4e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fbff1e6c819094ae6a5ad40adb65 completed April 20, 2026, 10:12 a.m.
Created at: April 10, 2026, 1:30 p.m.