Triple

T6830813
Position Surface form Disambiguated ID Type / Status
Subject Northwestern Mexico E157131 entity
Predicate hasPart P35 FINISHED
Object Nayarit E28956 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: Nayarit | Statement: [Northwestern Mexico, hasPart, Nayarit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nayarit
Context triple: [Northwestern Mexico, hasPart, Nayarit]
  • A. Nayarit chosen
    Nayarit is a small Pacific-coast state in western Mexico known for its beaches, coastal resorts, and diverse mountainous and tropical landscapes.
  • B. Jalisco
    Jalisco is a western Mexican state known for its cultural influence, including mariachi music, tequila production, and the major city of Guadalajara.
  • C. Michoacán
    Michoacán is a state in western Mexico known for its diverse geography, rich indigenous and colonial heritage, and significant cultural traditions such as Day of the Dead celebrations.
  • D. Xalisco
    Xalisco is a municipality and town in the Mexican state of Nayarit, known for its agricultural activity and proximity to the state capital, Tepic.
  • E. Mexico State
    Mexico State is a federal entity in central Mexico that surrounds most of Mexico City and is one of the country’s most populous and industrially important states.
  • 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_69c6882a5b5c8190917a7db9ed36bad1 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d62820808190ad3c244893e88699 completed March 27, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c91f3e6cec8190ad66e8f4feb6b911 completed March 29, 2026, 12:46 p.m.
Created at: March 27, 2026, 2:18 p.m.