Triple

T10287698
Position Surface form Disambiguated ID Type / Status
Subject Pomor merchants E241273 entity
Predicate portOfOrigin P93271 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: [Pomor merchants, portOfOrigin, Arkhangelsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arkhangelsk
Context triple: [Pomor merchants, portOfOrigin, 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. Archangelskoye
    Archangelskoye is a historic estate and former aristocratic residence near Moscow, Russia, known for its neoclassical palace, landscaped park, and role as a cultural and political retreat.
  • C. Murmansk
    Murmansk is a major Arctic port city in northwestern Russia, known for its ice-free harbor and strategic military and shipping importance.
  • D. Severodvinsk
    Severodvinsk is a Russian port city on the White Sea, known as a major center for the construction and maintenance of nuclear submarines.
  • E. 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.
  • 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: portOfOrigin
Context triple: [Pomor merchants, portOfOrigin, Arkhangelsk]
  • A. placeOfArrival
    Indicates the location at which an entity or person arrives at the end of a journey, movement, or transfer.
  • B. countryOfOrigin
    Indicates the country from which an entity originally comes or was first produced, created, or established.
  • C. isPortOf
    Indicates that one location or facility serves as a port or harbor for another place, entity, or transportation route.
  • D. voyageOriginCountry
    Indicates the country from which a voyage departs or originates.
  • E. denominationOfOrigin
    Indicates a legally recognized origin relationship where a product’s quality or characteristics are specifically attributable to being produced in a particular geographic region.
  • F. None of above. chosen

Provenance (5 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d7ccb7ec8190a538cf279e48116e completed April 7, 2026, 10:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d750097f1c8190a4b04e3758c89aae completed April 9, 2026, 7:06 a.m.
PD Predicate disambiguation batch_69d4d1f117708190928f92ae2611d724 completed April 7, 2026, 9:44 a.m.
PDg Predicate description generation batch_69d4d7cada7881908beba55a1dc9ecb9 completed April 7, 2026, 10:09 a.m.
Created at: April 6, 2026, 11:40 a.m.