Triple

T3713270
Position Surface form Disambiguated ID Type / Status
Subject Murmansk Oblast E81464 entity
Predicate hasMajorCity P316 FINISHED
Object Kandalaksha E297844 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: Kandalaksha | Statement: [Murmansk Oblast, hasMajorCity, Kandalaksha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kandalaksha
Context triple: [Murmansk Oblast, hasMajorCity, Kandalaksha]
  • A. Kandalaksha chosen
    Kandalaksha is a Russian port town on the Kandalaksha Gulf of the White Sea, known for its Arctic location and nearby nature reserve.
  • B. Onega Bay
    Onega Bay is a large southern inlet of Russia’s White Sea, known for its numerous islands, shallow waters, and importance to regional fishing and navigation.
  • C. Ladoga Karelia
    Ladoga Karelia is a historical region in southeastern Finland, bordering Lake Ladoga, that was ceded to the Soviet Union after the Winter War.
  • D. Kholmogory
    Kholmogory is a historic Russian town in the Arkhangelsk region that served as an important early northern trading and administrative center.
  • E. Lake Ladoga
    Lake Ladoga is a vast freshwater lake in northwestern Russia, renowned as the largest lake in Europe and an important ecological and historical region.
  • 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_69ad8b1a81588190b3f27a5483bb610e completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adc9cbc5648190936f93868086167e completed March 8, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69b503e201e88190bbac29e6b3722959 completed March 14, 2026, 6:44 a.m.
Created at: March 8, 2026, 3:33 p.m.