Triple

T13275411
Position Surface form Disambiguated ID Type / Status
Subject Lieutenant Governor of Nevada E316175 entity
Predicate seat P75 FINISHED
Object Carson City, Nevada E17682 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: Carson City, Nevada | Statement: [Lieutenant Governor of Nevada, seat, Carson City, Nevada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carson City, Nevada
Context triple: [Lieutenant Governor of Nevada, seat, Carson City, Nevada]
  • A. Carson City chosen
    Carson City is the capital of the U.S. state of Nevada, located in the western part of the state near the Sierra Nevada mountains.
  • B. Boulder City, Nevada
    Boulder City, Nevada is a planned community in southern Nevada best known for housing workers during the construction of Hoover Dam and for being one of the few U.S. cities where gambling is prohibited.
  • C. Reno
    Reno is a city in northwestern Nevada known for its casinos, tourism, and proximity to outdoor recreation areas in the Sierra Nevada, including Lake Tahoe.
  • D. Reno
    Reno is a small city located in Parker County in the U.S. state of Texas.
  • E. Stateline, Nevada
    Stateline, Nevada is a small resort town on the south shore of Lake Tahoe known for its casinos, hotels, and outdoor recreation at the California–Nevada border.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99042f56c819082440c89c0adc442 completed April 11, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69f74610b2c481909497296e999226e8 completed May 3, 2026, 12:56 p.m.
Created at: April 9, 2026, 9:26 p.m.