Triple

T768429
Position Surface form Disambiguated ID Type / Status
Subject Mountain bluebird E16225 entity
Predicate breedsIn P19710 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: [Mountain bluebird, breedsIn, Alaska]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alaska
Context triple: [Mountain bluebird, breedsIn, 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. Panhandle of Alaska
    The Panhandle of Alaska is the long, narrow southeastern coastal region of the state, characterized by rugged mountains, temperate rainforests, and numerous islands and fjords.
  • D. Southcentral Alaska
    Southcentral Alaska is a populous and relatively accessible region of Alaska known for its largest city, Anchorage, and its mix of coastal fjords, mountains, and boreal forests.
  • E. Maine
    Maine is a historical region in northwestern France that played a significant role in the medieval power struggles between the English and French crowns.
  • 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_69a49369a0848190af883934cee3db4c completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4aa9cecd08190a23c9f65080a4ac7 completed March 1, 2026, 9:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5e92d6b0819091fad60317eee455 completed March 7, 2026, 5:21 p.m.
Created at: March 1, 2026, 7:37 p.m.