Triple

T1024251
Position Surface form Disambiguated ID Type / Status
Subject Interstate 90 E22104 entity
Predicate stateTraversed P3448 FINISHED
Object Montana E38848 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: Montana | Statement: [Interstate 90, stateTraversed, Montana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montana
Context triple: [Interstate 90, stateTraversed, Montana]
  • A. Montana chosen
    Montana is a large, sparsely populated U.S. state in the northern Rocky Mountains known for its expansive wilderness, national parks like Glacier, and wide-open "Big Sky" landscapes.
  • B. Wyoming
    Wyoming is a sparsely populated U.S. state known for its vast plains, the Rocky Mountains, and iconic national parks like Yellowstone and Grand Teton.
  • C. South Dakota
    South Dakota is a largely rural U.S. state known for the Black Hills, Mount Rushmore, and its Native American heritage.
  • D. North Dakota
    North Dakota is a sparsely populated U.S. state known for its Great Plains landscapes, agricultural economy, and significant oil production from the Bakken formation.
  • E. Idaho
    Idaho is a mountainous, landlocked state in the northwestern United States known for its vast wilderness areas, outdoor recreation, and significant agricultural production, especially potatoes.
  • 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_69a493d6e380819097b384986ffc315c completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7e28df08190b5be7794442a6f21 completed March 1, 2026, 10:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae7eb1ce708190b881655b0813a687 completed March 9, 2026, 8:02 a.m.
Created at: March 1, 2026, 7:41 p.m.