Triple

T4835948
Position Surface form Disambiguated ID Type / Status
Subject Northern Fleet E108059 entity
Predicate base P2909 FINISHED
Object Polyarny E381371 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: Polyarny | Statement: [Northern Fleet, base, Polyarny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Polyarny
Context triple: [Northern Fleet, base, Polyarny]
  • A. Polyarny chosen
    Polyarny is a Russian naval town in Murmansk Oblast known as a key base for the Northern Fleet and submarine operations in the Arctic region.
  • B. Polaria
    Polaria is an Arctic-themed experience center and aquarium in Tromsø, Norway, focusing on polar research, climate, and marine life.
  • C. Polar Frontier
    Polar Frontier is an Arctic-themed exhibit at the Columbus Zoo and Aquarium that showcases polar bears and other cold-climate wildlife in naturalistic habitats.
  • D. Yoldia arctica
    Yoldia arctica is a species of cold-water bivalve mollusk whose fossil remains are characteristic of certain Arctic and sub-Arctic marine sediments.
  • E. The Frozen Tundra
    The Frozen Tundra is the iconic, frigid home stadium of the NFL’s Green Bay Packers, renowned for its harsh winter conditions and legendary cold-weather games.
  • 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_69bd43fbe444819085cb970706ef73f7 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ce00cd48190a675fb75eae152c2 completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5cbbc8a08190b01e4ca717260a20 completed March 21, 2026, 8:54 a.m.
Created at: March 20, 2026, 1:25 p.m.