Triple

T2573059
Position Surface form Disambiguated ID Type / Status
Subject Mountain Time in Mexico E57707 entity
Predicate observedInState P8054 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: [Mountain Time in Mexico, observedInState, Nayarit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nayarit
Context triple: [Mountain Time in Mexico, observedInState, 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. Zacatecas
    Zacatecas is a mountainous state in north-central Mexico known for its rich silver-mining history, colonial architecture, and location along the Sierra Madre Occidental.
  • 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_69ab4a51410081908501dcf8bad9adc4 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd3853c848190970e8a2da16d726d completed March 7, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69bdc4fea8fc8190bf99d53fc56d7d39 completed March 20, 2026, 10:06 p.m.
Created at: March 6, 2026, 9:48 p.m.