Triple

T19357701
Position Surface form Disambiguated ID Type / Status
Subject Fremont County, Wyoming E484191 entity
Predicate subdivisionOf P258 FINISHED
Object State of Wyoming NE NERFINISHED

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: State of Wyoming | Statement: [Fremont County, Wyoming, subdivisionOf, State of Wyoming]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: State of Wyoming
Context triple: [Fremont County, Wyoming, subdivisionOf, State of Wyoming]
  • A. Wyoming chosen
    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.
  • B. Wyoming
    Wyoming is a small borough in Luzerne County, Pennsylvania, situated in the historic Wyoming Valley along the Susquehanna River.
  • C. Wyoming
    Wyoming is a residential suburb on the Central Coast of New South Wales, Australia, known for its leafy streets, local shopping facilities, and proximity to Gosford.
  • D. Montana
    Montana is a small city in northwestern Bulgaria known as a regional administrative and economic center near the foothills of the Balkan Mountains.
  • E. Montana
    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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d305088190ad13571532aa454c completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e6190a1ec88190ba6d2d45174dc85a completed April 20, 2026, 12:16 p.m.
Created at: April 10, 2026, 1:34 p.m.