Triple

T21936166
Position Surface form Disambiguated ID Type / Status
Subject University of Sonora E541693 entity
Predicate locatedIn P40 FINISHED
Object Hermosillo NE NERFINISHED

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: Hermosillo | Statement: [University of Sonora, locatedIn, Hermosillo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hermosillo
Context triple: [University of Sonora, locatedIn, Hermosillo]
  • A. Ciudad Obregón
    Ciudad Obregón is a major agricultural and industrial city in the state of Sonora, Mexico, known for its role in the development of modern irrigation and wheat production in the Yaqui Valley.
  • B. Culiacán
    Culiacán is the largest city and main economic and cultural center of the Mexican state of Sinaloa.
  • C. Zacatecas City
    Zacatecas City is a historic colonial city in north-central Mexico, renowned for its silver-mining heritage, baroque architecture, and UNESCO-listed historic center.
  • D. Hermosillo, Mexico chosen
    Hermosillo, Mexico is the capital city of the state of Sonora and an important industrial and automotive manufacturing hub in northwestern Mexico.
  • E. Agua Prieta
    Agua Prieta is a Mexican border city in the state of Sonora, located across from Douglas, Arizona, and known for its role in cross-border trade and migration.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c47e2e5c81909a7f74ce3de50911 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1241c909c81908644eb73baa9def1 completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 7:53 p.m.