Triple

T10705009
Position Surface form Disambiguated ID Type / Status
Subject Costa Alegre E252380 entity
Predicate state P87 FINISHED
Object Jalisco E30805 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: Jalisco | Statement: [Costa Alegre, state, Jalisco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jalisco
Context triple: [Costa Alegre, state, Jalisco]
  • A. Jalisco chosen
    Jalisco is a western Mexican state known for its cultural influence, including mariachi music, tequila production, and the major city of Guadalajara.
  • B. Nayarit
    Nayarit is a small Pacific-coast state in western Mexico known for its beaches, coastal resorts, and diverse mountainous and tropical landscapes.
  • 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. 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.
  • E. Querétaro
    Querétaro is a central Mexican state known for its colonial-era capital city, growing industrial economy, and location at the junction of major mountain and plateau regions.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fddeb060819094cd125a68070eb2 completed April 9, 2026, 1:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69e3c7b89a808190af9b2d4f37ad9012 completed April 18, 2026, 6:04 p.m.
Created at: April 8, 2026, 9:12 p.m.