Triple

T2957327
Position Surface form Disambiguated ID Type / Status
Subject Corachol E79963 entity
Predicate spokenIn P2266 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: [Corachol, spokenIn, Jalisco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jalisco
Context triple: [Corachol, spokenIn, 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. 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.
  • E. 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.
  • 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_69ad8b1276588190a374a0b12e0f7bdf completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad992b33e081909d22a19d5064c47d completed March 8, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb0a5d4908190bb817c48cb485088 completed March 21, 2026, 2:52 p.m.
Created at: March 8, 2026, 2:57 p.m.