Triple

T2197308
Position Surface form Disambiguated ID Type / Status
Subject Gold Country E50405 entity
Predicate containsCityOrTown P847 FINISHED
Object Sonora E36501 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: Sonora | Statement: [Gold Country, containsCityOrTown, Sonora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sonora
Context triple: [Gold Country, containsCityOrTown, Sonora]
  • A. Sonora chosen
    Sonora is a small historic city in California’s Sierra Nevada foothills known for its Gold Rush heritage and role as a regional hub for tourism and outdoor recreation.
  • B. Sonora
    Sonora is a small town in Kentucky known for its rural character and role as a local transportation junction.
  • C. Sonora
    Sonora is a large northwestern Mexican state bordering the United States, known for its desert landscapes, cattle ranching, and significant industrial and agricultural production.
  • D. Sinaloa
    Sinaloa is a state in northwestern Mexico known for its fertile agricultural lands, Pacific coastline, and significant role in the country's cultural and economic life.
  • E. Baja California
    Baja California is a long, narrow peninsula in northwestern Mexico known for its deserts, rugged coastline, and popular tourist destinations such as Tijuana and Ensenada.
  • 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_69a88b044ab48190add007487680f009 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbf79f3e08190b56e9d7c0ff27237 completed March 7, 2026, 6:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f74880481908ffd16a25792f013 completed March 9, 2026, 7:28 p.m.
Created at: March 4, 2026, 7:46 p.m.