Triple

T7405605
Position Surface form Disambiguated ID Type / Status
Subject La Quebrada cliff divers E170860 entity
Predicate city P40 FINISHED
Object Acapulco de Juárez E252396 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: Acapulco de Juárez | Statement: [La Quebrada cliff divers, city, Acapulco de Juárez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Acapulco de Juárez
Context triple: [La Quebrada cliff divers, city, Acapulco de Juárez]
  • A. Acapulco de Juárez chosen
    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.
  • B. Chihuahua City
    Chihuahua City is a major urban and industrial center in northern Mexico known for its colonial architecture, mining history, and role in the Mexican Revolution.
  • C. Monclova
    Monclova is an industrial city in northern Mexico known as a major steel-producing center in the state of Coahuila.
  • D. Celaya
    Celaya is a major city and industrial municipality in the Mexican state of Guanajuato, known for its manufacturing sector and traditional cajeta (goat’s milk caramel).
  • E. Culiacán
    Culiacán is the largest city and main economic and cultural center of the Mexican state of Sinaloa.
  • 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_69c68a6010108190925e5284de022660 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f271f1d481909a46d50b13b51a62 completed March 27, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c941f469c881908e83cfd6c8191af1 completed March 29, 2026, 3:15 p.m.
Created at: March 27, 2026, 3:10 p.m.