Triple

T620349
Position Surface form Disambiguated ID Type / Status
Subject Sitka E14497 entity
Predicate locatedIn P40 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: [Sitka, locatedIn, Alaska]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alaska
Context triple: [Sitka, locatedIn, 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 northeastern U.S. state known for its rugged coastline, maritime history, and vast forested interior.
  • 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_69a4934b17c881909ace8270e8ddd202 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49e270b448190beb677670443b5b6 completed March 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a654d19b108190a4777dce9def7579 completed March 3, 2026, 3:26 a.m.
Created at: March 1, 2026, 7:35 p.m.