Triple

T2852916
Position Surface form Disambiguated ID Type / Status
Subject Arkhangelsk Oblast E63131 entity
Predicate hasPort P35 FINISHED
Object Arkhangelsk seaport E101428 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: Arkhangelsk seaport | Statement: [Arkhangelsk Oblast, hasPort, Arkhangelsk seaport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arkhangelsk seaport
Context triple: [Arkhangelsk Oblast, hasPort, Arkhangelsk seaport]
  • A. Novo-Arkhangelsk
    Novo-Arkhangelsk was the Russian colonial-era name for the settlement that later became the city of Sitka in present-day Alaska.
  • B. Arkhangelsk chosen
    Arkhangelsk is a historic port city in northern Russia on the White Sea, long serving as a key maritime gateway and administrative center of the surrounding region.
  • C. Tver River Port
    Tver River Port is a river transport hub and passenger terminal in the city of Tver, Russia, serving traffic on the Volga and connecting regional waterways.
  • D. Severomorsk
    Severomorsk is a closed naval town in Russia’s Murmansk Oblast that serves as the main base of the Russian (formerly Soviet) Northern Fleet on the Barents Sea.
  • E. Severodvinsk
    Severodvinsk is a Russian port city on the White Sea, known as a major center for the construction and maintenance of nuclear submarines.
  • 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_69ab4c407c408190857d25e027155ce9 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf5e043c8190ac82112abce7262a completed March 7, 2026, 8:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69b12e0c57b481908726496e6c2fc395 completed March 11, 2026, 8:55 a.m.
Created at: March 6, 2026, 10:02 p.m.