Triple

T17138937
Position Surface form Disambiguated ID Type / Status
Subject Albany County, Wyoming E415912 entity
Predicate state P87 FINISHED
Object Wyoming E45349 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: Wyoming | Statement: [Albany County, Wyoming, state, Wyoming]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wyoming
Context triple: [Albany County, Wyoming, state, 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 was a former Swiss alpine resort municipality that later became part of the larger resort area of Crans-Montana in the canton of Valais.
  • E. Montana
    Montana is a small city in northwestern Bulgaria known as a regional administrative and economic center near the foothills of the Balkan Mountains.
  • 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f2d1277881909325ffd2a7aa4873 completed April 18, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a015fc263508190aeeb0ea9553cebdb completed May 11, 2026, 4:49 a.m.
Created at: April 10, 2026, 5:36 a.m.