Triple

T260053
Position Surface form Disambiguated ID Type / Status
Subject Russian Empire E5520 entity
Predicate territoryIncludes P285 FINISHED
Object Alaska E890 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: Alaska | Statement: [Russian Empire, territoryIncludes, Alaska]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alaska
Context triple: [Russian Empire, territoryIncludes, Alaska]
  • A. Alaska chosen
    Alaska is the largest and one of the most sparsely populated U.S. states, known for its vast wilderness, Arctic and sub-Arctic climate, abundant natural resources, and rich Indigenous cultures.
  • B. Hawaii
    Hawaii is a U.S. state in the central Pacific Ocean known for its volcanic islands, tropical climate, and rich Native Hawaiian culture.
  • C. Maine
    Maine is a northeastern U.S. state known for its rugged coastline, maritime history, and vast forested interior.
  • D. District of Alaska
    The District of Alaska was the U.S. civil and military administrative district that governed Alaska after its purchase from Russia and before it became an organized U.S. territory.
  • E. Alabama
    Alabama is a southeastern U.S. state known for its significant role in American history, diverse landscapes from Gulf Coast beaches to Appalachian foothills, and major contributions to industry, agriculture, and the civil rights movement.
  • 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_69a2580a64ac8190ad76e34bb0715b5e completed Feb. 28, 2026, 2:50 a.m.
NER Named-entity recognition batch_69a25d72dad4819092c9502e6e4edc44 completed Feb. 28, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69a38b8ca1f08190a13733c03b9161f9 completed March 1, 2026, 12:42 a.m.
Created at: Feb. 28, 2026, 2:55 a.m.