Triple

T13536321
Position Surface form Disambiguated ID Type / Status
Subject Calafia Airlines E323269 entity
Predicate servesDestination P2066 FINISHED
Object Ciudad Obregón E130191 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: Ciudad Obregón | Statement: [Calafia Airlines, servesDestination, Ciudad Obregón]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ciudad Obregón
Context triple: [Calafia Airlines, servesDestination, 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 (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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafbe39948190808062d4eff91841 completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7a838581c819092a195f60673b743 completed May 3, 2026, 7:55 p.m.
Created at: April 9, 2026, 9:44 p.m.