Triple

T2810683
Position Surface form Disambiguated ID Type / Status
Subject USS Nevada E54160 entity
Predicate namesake P63 FINISHED
Object U.S. state of Nevada E2834 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: U.S. state of Nevada | Statement: [USS Nevada, namesake, U.S. state of Nevada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: U.S. state of Nevada
Context triple: [USS Nevada, namesake, U.S. state of Nevada]
  • A. Nevada chosen
    Nevada is a western U.S. state known for its vast deserts, legalized gambling, and the entertainment hub of Las Vegas.
  • B. Nevada
    Nevada is a small city in western Missouri known as the county seat of Vernon County and for its historic downtown and regional agricultural economy.
  • C. U.S. state of Arizona
    The U.S. state of Arizona is a landlocked state in the American Southwest known for its desert climate, the Grand Canyon, and its capital and largest city, Phoenix.
  • D. Nevada, Texas
    Nevada, Texas is a small rural city in Collin County known for its quiet residential character within the Dallas–Fort Worth metropolitan area.
  • E. southern Nevada
    Southern Nevada is the arid, heavily urbanized region of Nevada best known for encompassing the Las Vegas metropolitan area and its surrounding desert landscapes.
  • 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_69ab49dcee188190b5c6eca9ae9e3469 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde335b38819090c70d5e2ca14d79 completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69afce9a76388190a5dce756de2eb59f completed March 10, 2026, 7:56 a.m.
Created at: March 6, 2026, 9:59 p.m.