Triple

T22403915
Position Surface form Disambiguated ID Type / Status
Subject Yaquis de Obregón E553831 entity
Predicate hasStrongFanBaseIn P54054 FINISHED
Object Ciudad Obregón 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: Ciudad Obregón | Statement: [Yaquis de Obregón, hasStrongFanBaseIn, Ciudad Obregón]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ciudad Obregón
Context triple: [Yaquis de Obregón, hasStrongFanBaseIn, Ciudad Obregón]
  • A. Ciudad Obregón chosen
    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. 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.
  • D. Ciudad Juárez
    Ciudad Juárez is a major industrial and border city in northern Mexico, located across the Rio Grande from El Paso, Texas.
  • E. Acapulco de Juárez
    Acapulco de Juárez is a major Pacific coastal city and tourist resort in the Mexican state of Guerrero, renowned for its beaches, nightlife, and historic role as a key port.
  • 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_69e11e4da7048190b4387d422a9a0de5 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158b6762c8190991fc14c5ca8e609 completed April 29, 2026, 1:02 a.m.
Created at: April 16, 2026, 8:46 p.m.