Triple

T12734469
Position Surface form Disambiguated ID Type / Status
Subject northwestern Nevada E304326 entity
Predicate containsCity P294 FINISHED
Object Reno E16997 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: Reno | Statement: [northwestern Nevada, containsCity, Reno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reno
Context triple: [northwestern Nevada, containsCity, Reno]
  • A. Reno chosen
    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.
  • B. Reno
    Reno is a small city located in Parker County in the U.S. state of Texas.
  • C. Carson City
    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.
  • D. Austin, Nevada
    Austin, Nevada is a small historic mining town in central Nevada known for its remote location along U.S. Route 50 and well-preserved 19th-century architecture.
  • E. Sparks, Nevada
    Sparks, Nevada is a city in Washoe County that forms part of the Reno–Sparks metropolitan area and is known for its casinos, special events, and proximity to Lake Tahoe.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9646902408190b29268d864833b80 completed April 10, 2026, 8:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af49d2c4819097168712af7d4c15 completed May 3, 2026, 2:13 a.m.
Created at: April 9, 2026, 5:26 p.m.