Triple

T9815554
Position Surface form Disambiguated ID Type / Status
Subject Estado de Sonora E238393 entity
Predicate largestCity P235 FINISHED
Object Hermosillo E146271 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: Hermosillo | Statement: [Estado de Sonora, largestCity, Hermosillo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hermosillo
Context triple: [Estado de Sonora, largestCity, 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 (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_69ca84dfde1481909f47c286d715f892 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb2f341648190bf8343e1124085cb completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e41725948190a40ddcf9552e9bf1 completed April 5, 2026, 4:24 a.m.
Created at: March 30, 2026, 8:30 p.m.