Triple

T2336065
Position Surface form Disambiguated ID Type / Status
Subject Cactus wren E44311 entity
Predicate geographicRange P2178 FINISHED
Object Sonora E30806 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: [Cactus wren, geographicRange, Sonora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sonora
Context triple: [Cactus wren, geographicRange, Sonora]
  • A. Sonora chosen
    Sonora is a large northwestern Mexican state bordering the United States, known for its desert landscapes, cattle ranching, and significant industrial and agricultural production.
  • B. Sonora
    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.
  • C. Sonora
    Sonora is a small town in Kentucky known for its rural character and role as a local transportation junction.
  • 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_69a889132b488190bbb43ad4780ddd92 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc68927988190888630b5fa8f91dd completed March 7, 2026, 6:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa03e7b6c81909e61671bd4435723 completed March 10, 2026, 4:38 a.m.
Created at: March 4, 2026, 7:51 p.m.