Triple

T1957789
Position Surface form Disambiguated ID Type / Status
Subject Russia Company E42308 entity
Predicate primaryPortInRussia P1763 FINISHED
Object Arkhangelsk E101428 NE FINISHED

How this triple was built (3 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 | Statement: [Russia Company, primaryPortInRussia, Arkhangelsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arkhangelsk
Context triple: [Russia Company, primaryPortInRussia, Arkhangelsk]
  • A. 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.
  • B. Murmansk
    Murmansk is a major Arctic port city in northwestern Russia, known for its ice-free harbor and strategic military and shipping importance.
  • C. Severodvinsk
    Severodvinsk is a Russian port city on the White Sea, known as a major center for the construction and maintenance of nuclear submarines.
  • D. Tomsk
    Tomsk is a historic university and research city in southwestern Siberia, known as one of the region’s oldest and most important cultural and educational centers.
  • E. Kirov
    Kirov is the revolutionary pseudonym of Sergei Kirov, a prominent early Soviet political leader and close associate of Joseph Stalin.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryPortInRussia
Context triple: [Russia Company, primaryPortInRussia, Arkhangelsk]
  • A. positionOnRussia
    Indicates the stance, opinion, or policy that one entity holds regarding Russia.
  • B. portAlsoKnownAs
    Indicates that a port is referred to by an alternative name or alias.
  • C. otherMajorMoscowAirports
    Indicates that the referenced airports are major airports serving Moscow other than the primary one under consideration.
  • D. statusInRussia
    Indicates the legal, social, or operational condition or standing that something or someone has specifically within the context of Russia.
  • E. port chosen
    Indicates a relationship where one entity serves as a harbor, access point, or interface through which another entity can enter, exit, or connect.
  • F. None of above.

Provenance (4 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_69a8870eea088190a38781990812a9bc completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb68a8e608190bc37a85913b3cd44 completed March 7, 2026, 5:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7ee4b678819097da9363e032a670 completed March 9, 2026, 8:03 a.m.
PD Predicate disambiguation batch_69abaff5dbd48190a9d36ca60de151db completed March 7, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:36 p.m.